Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/18906
So I think with the performance improvements coming into Python UDFs
considering annotating results as nullable or not could make sense (although I
imagine we'd need to do something differeent for the vectorized UDFs if they
aren't already being done).
Let's loop in @BryanCutler , but the I think the performance improvements
could be reasonable to be thinking about in Spark 2.3+.
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