diff --git a/mkdocs/docs/api.md b/mkdocs/docs/api.md index 28407d4ffa..1791b112da 100644 --- a/mkdocs/docs/api.md +++ b/mkdocs/docs/api.md @@ -1523,6 +1523,52 @@ print(ray_dataset.take(2)) ] ``` +### Bodo + +PyIceberg interfaces closely with Bodo Dataframes (see [Bodo Iceberg Quick Start](https://docs.bodo.ai/latest/quick_start/quickstart_local_iceberg/)), +which provides a drop-in replacement for Pandas that applies query, compiler and HPC optimizations automatically. +Bodo accelerates and scales Python code from single laptops to large clusters without code rewrites. + + + +!!! note "Requirements" + This requires [`bodo` to be installed](index.md). + +```python +pip install pyiceberg['bodo'] +``` + + +A table can be read easily into a Bodo Dataframe to perform Pandas operations: + +```python +df = table.to_bodo() # equivalent to `bodo.pandas.read_iceberg_table(table)` +df = df[df["trip_distance"] >= 10.0] +df = df[["VendorID", "tpep_pickup_datetime", "tpep_dropoff_datetime"]] +print(df) +``` + +This creates a lazy query, optimizes it, and runs it on all available cores (print triggers execution): + +```python + VendorID tpep_pickup_datetime tpep_dropoff_datetime +0 2 2023-01-01 00:27:12 2023-01-01 00:49:56 +1 2 2023-01-01 00:09:29 2023-01-01 00:29:23 +2 1 2023-01-01 00:13:30 2023-01-01 00:44:00 +3 2 2023-01-01 00:41:41 2023-01-01 01:19:32 +4 2 2023-01-01 00:22:39 2023-01-01 01:30:45 +... ... ... ... +245478 2 2023-01-31 22:32:57 2023-01-31 23:01:48 +245479 2 2023-01-31 22:03:26 2023-01-31 22:46:13 +245480 2 2023-01-31 23:25:56 2023-02-01 00:05:42 +245481 2 2023-01-31 23:18:00 2023-01-31 23:46:00 +245482 2 2023-01-31 23:18:00 2023-01-31 23:41:00 + +[245483 rows x 3 columns] +``` + +Bodo is optimized to take advantage of Iceberg features such as hidden partitioning and various statistics for efficient reads. + ### Daft PyIceberg interfaces closely with Daft Dataframes (see also: [Daft integration with Iceberg](https://docs.daft.ai/en/stable/io/iceberg/)) which provides a full lazily optimized query engine interface on top of PyIceberg tables. diff --git a/mkdocs/docs/index.md b/mkdocs/docs/index.md index 714baa0d69..5f4ed6cc31 100644 --- a/mkdocs/docs/index.md +++ b/mkdocs/docs/index.md @@ -52,6 +52,7 @@ You can mix and match optional dependencies depending on your needs: | pandas | Installs both PyArrow and Pandas | | duckdb | Installs both PyArrow and DuckDB | | ray | Installs PyArrow, Pandas, and Ray | +| bodo | Installs Bodo | | daft | Installs Daft | | polars | Installs Polars | | s3fs | S3FS as a FileIO implementation to interact with the object store | diff --git a/poetry.lock b/poetry.lock index a043089a66..7f33650f82 100644 --- a/poetry.lock +++ b/poetry.lock @@ -59,7 +59,7 @@ description = "Happy Eyeballs for asyncio" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\"" +markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\"" 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"1fcc54f796bff7ede0e45748724603838832504827f18684285ac79158e7280a" +content-hash = "5cef3b70e2b74aaa1ba9d9b718c6374dfc137b87d9b4eeaab572604cbf616bd5" diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py index 06368f709c..333e813ac3 100644 --- a/pyiceberg/table/__init__.py +++ b/pyiceberg/table/__init__.py @@ -137,6 +137,7 @@ from pyiceberg.utils.properties import property_as_bool if TYPE_CHECKING: + import bodo.pandas as bd import daft import pandas as pd import polars as pl @@ -1485,6 +1486,16 @@ def to_daft(self) -> daft.DataFrame: return daft.read_iceberg(self) + def to_bodo(self) -> bd.DataFrame: + """Read a bodo DataFrame lazily from this Iceberg table. + + Returns: + bd.DataFrame: Unmaterialized Bodo Dataframe created from the Iceberg table + """ + import bodo.pandas as bd + + return bd.read_iceberg_table(self) + def to_polars(self) -> pl.LazyFrame: """Lazily read from this Apache Iceberg table. diff --git a/pyproject.toml b/pyproject.toml index 683d3e1111..6f1b7c779b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -78,6 +78,7 @@ gcsfs = { version = ">=2023.1.0", optional = true } huggingface-hub = { version = ">=0.24.0", optional = true } psycopg2-binary = { version = ">=2.9.6", optional = true } sqlalchemy = { version = "^2.0.18", optional = true } +bodo = { version = ">=2025.7.4", optional = true } daft = { version = ">=0.5.0", optional = true } cachetools = ">=5.5,<7.0" pyiceberg-core = { version = "^0.5.1", optional = true } @@ -298,6 +299,7 @@ pyarrow = ["pyarrow", "pyiceberg-core"] pandas = ["pandas", "pyarrow"] duckdb = ["duckdb", "pyarrow"] ray = ["ray", "pyarrow", "pandas"] +bodo = ["bodo"] daft = ["daft"] polars = ["polars"] snappy = ["python-snappy"] @@ -485,6 +487,10 @@ ignore_missing_imports = true module = "daft.*" ignore_missing_imports = true +[[tool.mypy.overrides]] +module = "bodo.*" +ignore_missing_imports = true + [[tool.mypy.overrides]] module = "pyparsing.*" ignore_missing_imports = true diff --git a/tests/integration/test_reads.py b/tests/integration/test_reads.py index 0df885846b..1b04b63733 100644 --- a/tests/integration/test_reads.py +++ b/tests/integration/test_reads.py @@ -339,6 +339,16 @@ def test_daft_nan_rewritten(catalog: Catalog) -> None: assert math.isnan(df.to_pydict()["col_numeric"][0]) +@pytest.mark.integration +@pytest.mark.filterwarnings("ignore") +@pytest.mark.parametrize("catalog", [pytest.lazy_fixture("session_catalog_hive"), pytest.lazy_fixture("session_catalog")]) +def test_bodo_nan(catalog: Catalog) -> None: + table_test_null_nan_rewritten = catalog.load_table("default.test_null_nan_rewritten") + df = table_test_null_nan_rewritten.to_bodo() + assert len(df) == 3 + assert math.isnan(df.col_numeric.iloc[0]) + + @pytest.mark.integration @pytest.mark.filterwarnings("ignore") @pytest.mark.parametrize("catalog", [pytest.lazy_fixture("session_catalog_hive"), pytest.lazy_fixture("session_catalog")]) diff --git a/tests/integration/test_writes/test_partitioned_writes.py b/tests/integration/test_writes/test_partitioned_writes.py index ca7e48a5d7..b2f6ad410d 100644 --- a/tests/integration/test_writes/test_partitioned_writes.py +++ b/tests/integration/test_writes/test_partitioned_writes.py @@ -546,27 +546,31 @@ def test_summaries_with_null(spark: SparkSession, session_catalog: Catalog, arro "total-data-files": "6", "total-records": "6", } + assert "removed-files-size" in summaries[5] + assert "total-files-size" in summaries[5] assert summaries[5] == { - "removed-files-size": "16174", + "removed-files-size": summaries[5]["removed-files-size"], "changed-partition-count": "2", "total-equality-deletes": "0", "deleted-data-files": "4", "total-position-deletes": "0", "total-delete-files": "0", "deleted-records": "4", - "total-files-size": "8884", + "total-files-size": summaries[5]["total-files-size"], "total-data-files": "2", "total-records": "2", } + assert "added-files-size" in summaries[6] + assert "total-files-size" in summaries[6] assert summaries[6] == { "changed-partition-count": "2", "added-data-files": "2", "total-equality-deletes": "0", "added-records": "2", "total-position-deletes": "0", - "added-files-size": "8087", + "added-files-size": summaries[6]["added-files-size"], "total-delete-files": "0", - "total-files-size": "16971", + "total-files-size": summaries[6]["total-files-size"], "total-data-files": "4", "total-records": "4", } diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py index cebb01bacc..624bf0d8b2 100644 --- a/tests/integration/test_writes/test_writes.py +++ b/tests/integration/test_writes/test_writes.py @@ -309,15 +309,17 @@ def test_summaries_partial_overwrite(spark: SparkSession, session_catalog: Catal assert file_size > 0 # APPEND + assert "added-files-size" in summaries[0] + assert "total-files-size" in summaries[0] assert summaries[0] == { "added-data-files": "3", - "added-files-size": "2618", + "added-files-size": summaries[0]["added-files-size"], "added-records": "5", "changed-partition-count": "3", "total-data-files": "3", "total-delete-files": "0", "total-equality-deletes": "0", - "total-files-size": "2618", + "total-files-size": summaries[0]["total-files-size"], "total-position-deletes": "0", "total-records": "5", } @@ -344,18 +346,21 @@ def test_summaries_partial_overwrite(spark: SparkSession, session_catalog: Catal # } files = tbl.inspect.data_files() assert len(files) == 3 + assert "added-files-size" in summaries[1] + assert "removed-files-size" in summaries[1] + assert "total-files-size" in summaries[1] assert summaries[1] == { "added-data-files": "1", - "added-files-size": "875", + "added-files-size": summaries[1]["added-files-size"], "added-records": "2", "changed-partition-count": "1", "deleted-data-files": "1", "deleted-records": "3", - "removed-files-size": "882", + "removed-files-size": summaries[1]["removed-files-size"], "total-data-files": "3", "total-delete-files": "0", "total-equality-deletes": "0", - "total-files-size": "2611", + "total-files-size": summaries[1]["total-files-size"], "total-position-deletes": "0", "total-records": "4", }