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https://issues.apache.org/jira/browse/ARROW-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357589#comment-16357589
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ASF GitHub Bot commented on ARROW-1973:
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wesm commented on issue #1578: ARROW-1973: [Python] Memory leak when converting
Arrow tables with array columns to Pandas dataframes.
URL: https://github.com/apache/arrow/pull/1578#issuecomment-364251400
It looks like LLVM 5 has been promoted to stable (according to
http://apt.llvm.org/) so I think we should upgrade our pin to clang 5.0
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> [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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