Li Jin created ARROW-1654:
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Summary: [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
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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