[
https://issues.apache.org/jira/browse/ARROW-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wes McKinney updated ARROW-1973:
--------------------------------
Summary: [Python] Memory leak when converting Arrow tables with array
columns to Pandas dataframes. (was: Memory leak when converting Arrow tables
with array columns to Pandas dataframes.)
> [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
> Priority: Major
> 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
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
