support rank

Author: chelsea-lin

bigframes/core/compile/sqlglot/aggregations/unary_compiler.py

@@ -115,6 +115,15 @@ def _(
     return apply_window_if_present(sge.func("COUNT", sge.convert(1)), window)
 
 
+@UNARY_OP_REGISTRATION.register(agg_ops.RankOp)
+def _(
+    op: agg_ops.RankOp,
+    column: typed_expr.TypedExpr,
+    window: typing.Optional[window_spec.WindowSpec] = None,
+) -> sge.Expression:
+    return apply_window_if_present(sge.func("RANK"), window)
+
+
 @UNARY_OP_REGISTRATION.register(agg_ops.SumOp)
 def _(
     op: agg_ops.SumOp,

tests/unit/core/compile/sqlglot/aggregations/snapshots/test_unary_compiler/test_rank/out.sql

@@ -0,0 +1,16 @@
+WITH `bfcte_0` AS (
+  SELECT
+    `int64_col` AS `bfcol_0`,
+    `rowindex` AS `bfcol_1`
+  FROM `bigframes-dev`.`sqlglot_test`.`scalar_types`
+), `bfcte_1` AS (
+  SELECT
+    *,
+    RANK() OVER (ORDER BY `bfcol_0` IS NULL ASC NULLS LAST, `bfcol_0` ASC NULLS LAST) AS `bfcol_4`
+  FROM `bfcte_0`
+)
+SELECT
+  `bfcol_1` AS `bfuid_col_1`,
+  `bfcol_0` AS `int64_col`,
+  `bfcol_4` AS `agg_int64`
+FROM `bfcte_1`

tests/unit/core/compile/sqlglot/aggregations/test_unary_compiler.py

@@ -76,7 +76,7 @@ def test_dense_rank(scalar_types_df: bpd.DataFrame, snapshot):
     col_name = "int64_col"
     bf_df = scalar_types_df[[col_name]]
     agg_expr = agg_exprs.UnaryAggregation(
-        agg_ops.DenseRankOp(), expression.deref("int64_col")
+        agg_ops.DenseRankOp(), expression.deref(col_name)
     )
     window = window_spec.WindowSpec(ordering=(ordering.ascending_over(col_name),))
     sql = _apply_unary_window_op(bf_df, agg_expr, window, "agg_int64")
@@ -141,6 +141,17 @@ def test_min(scalar_types_df: bpd.DataFrame, snapshot):
     snapshot.assert_match(sql, "out.sql")
 
 
+def test_rank(scalar_types_df: bpd.DataFrame, snapshot):
+    col_name = "int64_col"
+    bf_df = scalar_types_df[[col_name]]
+    agg_expr = agg_exprs.UnaryAggregation(agg_ops.RankOp(), expression.deref(col_name))
+
+    window = window_spec.WindowSpec(ordering=(ordering.ascending_over(col_name),))
+    sql = _apply_unary_window_op(bf_df, agg_expr, window, "agg_int64")
+
+    snapshot.assert_match(sql, "out.sql")
+
+
 def test_sum(scalar_types_df: bpd.DataFrame, snapshot):
     bf_df = scalar_types_df[["int64_col", "bool_col"]]
     agg_ops_map = {