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https://issues.apache.org/jira/browse/ARROW-6417?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-6417:
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Description: In doing some benchmarking, I have found that binary reads
seem to be slower from Arrow 0.11.1 to master branch. It would be a good idea
to do some basic profiling to see where we might improve our memory allocation
strategy (or whatever the bottleneck turns out to be) (was: In doing some
benchmarking, I have found that binary reads seem to be slower from Arrow
0.11.1 to master branch. The comparison isn't quite apples-to-apples since I
think these results were produced with different versions of gcc, but it would
be a good idea to do some basic profiling to see where we might improve our
memory allocation strategy (or whatever the bottleneck turns out to be))
> [C++][Parquet] Non-dictionary BinaryArray reads from Parquet format have
> slowed down since 0.11.x
> -------------------------------------------------------------------------------------------------
>
> Key: ARROW-6417
> URL: https://issues.apache.org/jira/browse/ARROW-6417
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++, Python
> Reporter: Wes McKinney
> Priority: Major
> Attachments: 20190903_parquet_benchmark.py,
> 20190903_parquet_read_perf.png
>
>
> In doing some benchmarking, I have found that binary reads seem to be slower
> from Arrow 0.11.1 to master branch. It would be a good idea to do some basic
> profiling to see where we might improve our memory allocation strategy (or
> whatever the bottleneck turns out to be)
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