[jira] [Created] (ARROW-6380) Method pyarrow.parquet.read_table has memory spikes from version 0.14

["Renan Alves Fonseca (Jira)" <ji...@apache.org>]

Renan Alves Fonseca created ARROW-6380:
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             Summary: Method pyarrow.parquet.read_table has memory spikes from version 0.14
                 Key: ARROW-6380
                 URL: https://issues.apache.org/jira/browse/ARROW-6380
             Project: Apache Arrow
          Issue Type: Bug
          Components: C++
    Affects Versions: 0.14.1, 0.14.0
         Environment: ubuntu 18, 16GB ram, 4 cpus
            Reporter: Renan Alves Fonseca
             Fix For: 0.13.0


Method pyarrow.parquet.read_table is very slow and cause RAM spikes from version 0.14.0

Reading a 40MB parquet file takes less than 1 second in versions 0.11, 0.12 and 0.13. wheras it takes from 6 to 30 seconds in versions 0.14.x

This impact in performance is easily measured. However, there is another problem that I could only detect on htop screen. While opening a 40MB parquet, the process occupies almost 16GB for some miliseconds. The pyarrow table will result in around 300MB in the python process (registered using memory-profiler). This does not happens in versions 0.13 and previous ones.



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