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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:
---------------------------------

             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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