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https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17657396#comment-17657396
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Rok Mihevc commented on ARROW-362:
----------------------------------
This issue has been migrated to [issue
#15907|https://github.com/apache/arrow/issues/15907] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> Python: Calling to_pandas on a table read from Parquet leaks memory
> -------------------------------------------------------------------
>
> Key: ARROW-362
> URL: https://issues.apache.org/jira/browse/ARROW-362
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.1.0
> Reporter: Uwe Korn
> Assignee: Wes McKinney
> Priority: Major
> Fix For: 0.2.0
>
>
> Steps to reproduce:
> * Read a parquet file with {{pyarrow.parquet.read_table}} and convert the
> table to a DataFrame with {{to_pandas}}
> * Repeat this several times and see an ever increasing memory usage
> This seems to happen only in this combination. Calling {{gc.collect}} doesn't
> help.
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