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https://issues.apache.org/jira/browse/ARROW-6417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16921168#comment-16921168
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Wes McKinney commented on ARROW-6417:
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OK, I think to make things faster we need to be more careful about
pre-allocating with {{BinaryBuilder}} and calling
{{BaseBinaryBuilder<T>::UnsafeAppend}} instead of {{Append}}. It's a bit tricky
because we have {{ChunkedBinaryBuilder}} in the mix, so we may have to manage
the creation of chunks in the Parquet value decoder. I think this is worth the
effort given how much of a hot path this is for reading Parquet files. I'll
spend a little time on it tomorrow
> [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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