[jira] [Commented] (ARROW-1973) [Python] Memory leak when converting Arrow tables with array columns to Pandas dataframes.

["Rok Mihevc (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659003#comment-17659003 ] 

Rok Mihevc commented on ARROW-1973:
-----------------------------------

This issue has been migrated to [issue #17959|https://github.com/apache/arrow/issues/17959] on GitHub. Please see the [migration documentation|https://github.com/apache/arrow/issues/14542] for further details.

> [Python] 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
>            Assignee: Phillip Cloud
>            Priority: Major
>              Labels: pull-request-available
>             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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