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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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Uwe L. Korn updated ARROW-362:
------------------------------
    Affects Version/s: 0.1.0

> 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
>
> Steps to reproduce:
>  * Read a parquet file with {{pyarrow.parquet.read_table}}
>  * Convert the table to a DataFrame with {{to_pandas}}
>  * Repeat the last step several time 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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