Comments (3)
Currently, there is no implementation that integrates Pandas with AsyncCursor.
I will make it! 💪
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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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@JivanRoquet I have implemented it. Please check the following branch.
#84
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