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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:
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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 time 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}}
* 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.
> 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 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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