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https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-362.
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Resolution: Fixed
Issue resolved by pull request 200
[https://github.com/apache/arrow/pull/200]
> 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 L. Korn
> Assignee: Uwe L. Korn
>
> 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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