Comments (3)
laughingman7743
commented on May 25, 2024
3
Currently, there is no implementation that integrates Pandas with AsyncCursor.
I will make it! 💪
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JivanRoquet
commented on May 25, 2024
Thanks @laughingman7743
In the meantime I found it seems to be doable by using a ProcessPoolExecutor instead of a ThreadPoolExecutor in my above example.
However, although this seems to have nothing to do with PyAthena, it seems that it doesn't really shorten the overall time. For example, if you send two queries that last each 5 seconds, but in parallel, then Athena will deliver each of them concurrently in roughly 10 seconds. Maybe there's something to tune in the Athena configuration that I'm not aware of.
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laughingman7743
commented on May 25, 2024
@JivanRoquet I have implemented it. Please check the following branch.
#84
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Related Issues (20)
- Sqlalchemy Create ICEBERG table wrong Partition clause HOT 3
- Python 3.10: No module named 'distutils.util' HOT 8
- PandasCursor interfering with pandas.DataFrame writing to s3 HOT 8
- Cannot specify Athena workgroup when using sqlalchemy HOT 2
- Add LIMIT as argument for execute HOT 3
- Support `json_serializer` and `json_deserializer` engine/dialect paremeters HOT 1
- SyntaxError when importing AthenaDialect HOT 5
- pyathena hijacks pandas s3fs HOT 2
- result_reuse_enable and result_reuse_minutes HOT 2
- Athena Reuse Query Results HOT 2
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- Mypy Error When using Connection.cursor method to instantiate cursor HOT 2
- Add custom filesystem object to arrow engine HOT 2
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