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https://issues.apache.org/jira/browse/ARROW-2459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16443243#comment-16443243
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Travis Brady commented on ARROW-2459:
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[~joshuastorck] In general I'd say PyArrow should never segfault. Throw a
`ValueError` or something, but a hard crash of the interpreter is not
acceptable in production.
> pyarrow: Segfault with pyarrow.deserialize_pandas
> -------------------------------------------------
>
> Key: ARROW-2459
> URL: https://issues.apache.org/jira/browse/ARROW-2459
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Environment: OS X, Linux
> Reporter: Travis Brady
> Priority: Major
>
> Following up from [https://github.com/apache/arrow/issues/1884] wherein I
> found that calling deserialize_pandas in the linked app.py script in the repo
> linked below causes the app.py process to segfault.
> I initially observed this on OS X, but have since confirmed that the behavior
> exists on Linux as well.
> Repo containing example: [https://github.com/travisbrady/sanic-arrow]
> And more generally: what is the right way to get a Java-based HTTP
> microservice to talk to a Python-based HTTP microservice using Arrow as the
> serialization format? I'm exchanging DataFrame type objects (they are
> pandas.DataFrame's on the Python side) between the two services for real-time
> scoring in a few xgboost models implemented in Python.
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