Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/19872
And to @holdenk 's question. Pandas group_agg udf fundamentally uses
different physical plan than the existing java/scala udf and therefore it's
hard to combine them together. I don't know a good way to do this, the closest
is maybe to compute java/scala and python aggregation separately and join them
together.
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