Github user koertkuipers commented on the issue:
https://github.com/apache/spark/pull/13512
If Aggregator is designed for typed Dataset only then that is a bit of a
shame, because its a elegant and generic api that should be useful for
DataFrame too. this causes fragmentation (Aggregator versus
UserDefinedAggregationFunction).
I am not sure what the better way to do this is, but i would like a single
high level Aggregator-like api that i can use in Dataset and DataFrame.
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