[jira] [Updated] (ARROW-6417) [C++][Parquet] Non-dictionary BinaryArray reads from Parquet format have slowed down since 0.11.x

["Wes McKinney (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-6417?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

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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