Source code for pyathena.sqlalchemy.arrow

# Copyright 2017 The PyAthena authors
#
# Licensed under the MIT License.
# See LICENSE or https://opensource.org/licenses/MIT.
#
# SPDX-License-Identifier: MIT

"""SQLAlchemy dialect for Athena that returns results through ``ArrowCursor``."""

from typing import TYPE_CHECKING

from pyathena.sqlalchemy.base import AthenaDialect
from pyathena.util import override, strtobool

if TYPE_CHECKING:
    from types import ModuleType


[docs] class AthenaArrowDialect(AthenaDialect): """SQLAlchemy dialect for Amazon Athena with Apache Arrow result format. This dialect extends AthenaDialect to use ArrowCursor, which returns query results as Apache Arrow Tables. Arrow format provides efficient columnar data representation, making it ideal for analytical workloads and integration with data science tools. Connection URL Format: ``awsathena+arrow://{access_key}:{secret_key}@athena.{region}.amazonaws.com/{schema}`` Query Parameters: In addition to the base dialect parameters: - unload: If "true", use UNLOAD for Parquet output (better performance for large datasets) Example: >>> from sqlalchemy import create_engine >>> engine = create_engine( ... "awsathena+arrow://:@athena.us-west-2.amazonaws.com/default" ... "?s3_staging_dir=s3://my-bucket/athena-results/" ... "&unload=true" ... ) See Also: :class:`~pyathena.arrow.cursor.ArrowCursor`: The underlying cursor implementation. :class:`~pyathena.sqlalchemy.base.AthenaDialect`: Base dialect class. """ driver = "arrow" supports_statement_cache = True
[docs] @override def create_connect_args(self, url): from pyathena.arrow.cursor import ArrowCursor opts = super()._create_connect_args(url) opts.update({"cursor_class": ArrowCursor}) cursor_kwargs = {} if "unload" in opts: cursor_kwargs.update({"unload": bool(strtobool(opts.pop("unload")))}) if cursor_kwargs: opts.update({"cursor_kwargs": cursor_kwargs}) return [[], opts]
[docs] @classmethod @override def import_dbapi(cls) -> "ModuleType": return super().import_dbapi()