You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Wes McKinney (Jira)" <ji...@apache.org> on 2019/09/02 18:00:00 UTC

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

Wes McKinney created ARROW-6417:
-----------------------------------

             Summary: [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
         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. 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)



--
This message was sent by Atlassian Jira
(v8.3.2#803003)