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Posted to dev@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2016/11/03 17:34:59 UTC
[jira] [Commented] (ARROW-362) Python: Calling to_pandas on a table
read from Parquet leaks memory
[ https://issues.apache.org/jira/browse/ARROW-362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15633574#comment-15633574 ]
Uwe L. Korn commented on ARROW-362:
-----------------------------------
This was to one too much reference count in the zero copy path: https://github.com/apache/arrow/pull/198
> 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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