Bogdan Klichuk created ARROW-7305:
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Summary: High memory usage writing pyarrow.Table to parquet
Key: ARROW-7305
URL: https://issues.apache.org/jira/browse/ARROW-7305
Project: Apache Arrow
Bogdan Klichuk created ARROW-7150:
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Summary: [Python] Explain parquet file size growth
Key: ARROW-7150
URL: https://issues.apache.org/jira/browse/ARROW-7150
Project: Apache Arrow
Issue Type
Bogdan Klichuk created ARROW-6481:
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Summary: Bad performance of read_csv() with column_types
Key: ARROW-6481
URL: https://issues.apache.org/jira/browse/ARROW-6481
Project: Apache Arrow
Issue
Bogdan Klichuk created ARROW-5811:
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Summary: pyarrow.csv.read_csv: Ability to not infer column types.
Key: ARROW-5811
URL: https://issues.apache.org/jira/browse/ARROW-5811
Project: Apache Arrow
Bogdan Klichuk created ARROW-5791:
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Summary: pyarrow.csv.read_csv hangs + eats all RAM
Key: ARROW-5791
URL: https://issues.apache.org/jira/browse/ARROW-5791
Project: Apache Arrow
Issue Type
).
>
> Thanks,
> Micah
>
> [1]
> https://lists.apache.org/thread.html/96e595ce6c3cffa37bad23181abc9372c30457210a65d72d92593ce5@%3Cdev.arrow.apache.org%3E
>
> On Sun, Jun 16, 2019 at 10:01 PM Bogdan Klichuk
> wrote:
>
>> Hello. Thanks for the reply!
>>
>>
>>
>&g
tanding is that the formats are nearly identical (mostly just a
> > difference in metadata) so the performance similarity isn't surprising.
>
Alright, so speaking of serialization of pyarrow.Table vs Feather, if they
are pretty much the same, but arrow alone shouldn't
be used to lo
INCLUDED into benchmarks.
--
Best wishes,
Bogdan Klichuk
