[jira] [Resolved] (ARROW-362) Python: Calling to_pandas on a table read from Parquet leaks memory

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney resolved ARROW-362.
--------------------------------
    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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