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https://issues.apache.org/jira/browse/ARROW-1654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16215687#comment-16215687
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ASF GitHub Bot commented on ARROW-1654:
---------------------------------------
wesm commented on a change in pull request #1238: ARROW-1654: [Python]
Implement pickling for DataType, Field, Schema
URL: https://github.com/apache/arrow/pull/1238#discussion_r146365791
##########
File path: python/pyarrow/tests/test_schema.py
##########
@@ -304,3 +306,37 @@ def test_schema_repr_with_dictionaries():
two: int32""")
assert repr(sch) == expected
+
+
+def test_type_schema_pickling():
+ cases = [
+ pa.int8(),
+ pa.string(),
+ pa.binary(),
+ pa.binary(10),
+ pa.list_(pa.string()),
+ pa.struct([
+ pa.field('a', 'int8'),
+ pa.field('b', 'string')
+ ]),
+ pa.time32('s'),
+ pa.time64('us'),
+ pa.date32(),
+ pa.date64(),
Review comment:
thought I had one, let me add
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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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