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Posted to dev@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2016/11/03 16:27:58 UTC
[jira] [Created] (ARROW-362) Python: Calling to_pandas on a table
read from Parquet leaks memory
Uwe L. Korn created ARROW-362:
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Summary: 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
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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