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Revert fix: use PyArrowFileIO for S3 access in get_dbt_model_as_dataframe #2222

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Merged
rachellougee merged 1 commit into from
May 12, 2026
Merged

Revert fix: use PyArrowFileIO for S3 access in get_dbt_model_as_dataframe #2222

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25 changes: 7 additions & 18 deletions packages/ol-orchestrate-lib/src/ol_orchestrate/lib/glue_helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -90,34 +90,23 @@ def create_or_update_table(


def get_dbt_model_as_dataframe(database_name: str, table_name: str) -> pl.LazyFrame:
"""Retrieve a dbt model from AWS Glue as a Polars LazyFrame.
"""Retrieve a dbt model from AWS Glue as a Polars DataFrame.

This function fetches table metadata from AWS Glue and loads the Iceberg
table data into a Polars LazyFrame.

``PyArrowFileIO`` is used so that PyIceberg reads S3 data via PyArrow's
native C++ S3 client instead of the default ``FsspecFileIO`` (which relies
on aiobotocore / aiohttp). After the aiobotocore 3.4.0 → 3.5.0 bump
deployed around 2026-04-27, botocore's lazy loader cache was populated
inside aiobotocore's async event loop thread, blocking all pending S3
coroutines and causing Dagster runs to hang indefinitely.
``PyArrowFileIO`` bypasses aiobotocore entirely and is not affected.
table data into a Polars DataFrame.
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Args:
database_name: The Glue database name containing the table
table_name: The name of the table to retrieve

Returns:
A Polars LazyFrame containing the table data
A Polars DataFrame containing the table data

Raises:
Exception: If loading the Iceberg table from Glue or converting it to
a Polars LazyFrame fails.
KeyError: If the table metadata doesn't contain the expected fields
boto3 exceptions: If the AWS Glue API call fails
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"""
glue = GlueCatalog(
"default",
client=boto3.client("glue", region_name="us-east-1"),
**{"py-io-impl": "pyiceberg.io.pyarrow.PyArrowFileIO"},
)
glue = GlueCatalog("default", client=boto3.client("glue", region_name="us-east-1"))
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table = glue.load_table(f"{database_name}.{table_name}")

return table.to_polars()
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