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Posted to issues@arrow.apache.org by "Uwe L. Korn (JIRA)" <ji...@apache.org> on 2018/01/07 19:02:00 UTC
[jira] [Updated] (ARROW-1973) Memory leak when converting Arrow
tables with array columns to Pandas dataframes.
[ https://issues.apache.org/jira/browse/ARROW-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Uwe L. Korn updated ARROW-1973:
-------------------------------
Fix Version/s: 0.9.0
> Memory leak when converting Arrow tables with array columns to Pandas dataframes.
> ---------------------------------------------------------------------------------
>
> Key: ARROW-1973
> URL: https://issues.apache.org/jira/browse/ARROW-1973
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 0.8.0
> Environment: Linux Mint 18.2
> Anaconda Python distribution + pyarrow installed from the conda-forge channel
> Reporter: Alexey Strokach
> Fix For: 0.9.0
>
>
> There appears to be a memory leak when using PyArrow to convert tables containing array columns to Pandas DataFrames.
> See the `test_memory_leak.py` example here: https://gitlab.com/ostrokach/pyarrow_duplicate_column_errors
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