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From "Uwe L. Korn (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (ARROW-362) Python: Calling to_pandas on a table read from Parquet leaks memory
Date Thu, 03 Nov 2016 16:31:58 GMT

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

Uwe L. Korn updated ARROW-362:
------------------------------
    Description: 
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.

  was:
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 time and see an ever increasing memory usage

This seems to happen only in this combination. Calling {{gc.collect}} doesn't help.


> 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}} 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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