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https://issues.apache.org/jira/browse/ARROW-1654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16215639#comment-16215639
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ASF GitHub Bot commented on ARROW-1654:
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wesm commented on issue #1238: ARROW-1654: [Python] Implement pickling for
DataType, Field, Schema
URL: https://github.com/apache/arrow/pull/1238#issuecomment-338759024
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> [Python] pa.DataType cannot be pickled
> --------------------------------------
>
> Key: ARROW-1654
> URL: https://issues.apache.org/jira/browse/ARROW-1654
> Project: Apache Arrow
> Issue Type: Improvement
> Reporter: Li Jin
> Assignee: Wes McKinney
> Labels: pull-request-available
> Fix For: 0.8.0
>
>
> In [26]: t
> Out[26]: DataType(int64)
> In [25]: pickle.dumps(t)
> ---------------------------------------------------------------------------
> TypeError Traceback (most recent call last)
> <ipython-input-25-f90063f6658b> in <module>()
> ----> 1 pickle.dumps(t)
> /home/icexelloss/miniconda3/envs/spark-dev/lib/python3.5/site-packages/pyarrow/lib.cpython-35m-x86_64-linux-gnu.so
> in pyarrow.lib.DataType.__reduce_cython__()
> TypeError: no default __reduce__ due to non-trivial __cinit__
> This is discovered when trying to send a pa.DataType along with a udf in
> pyspark. The workaround is to send pyspark DataType and convert to
> pa.DataType. It would be nice to able to pickle pa.DataType.
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