Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/20217
My two cents:
I kind of like the PySpark API `registerUDF`. I think the API is simple and
clear, comparing to the alternative (merging this API to `registerFunction` and
throwing an error in case that `f` is a UDF and `returnType` is set)
I think we can even go a little further to deprecate the
`registerFunction(name, f, returnType)` API if we want - It's the same as
`registerUDF(name, udf(f, returnType))`, to reduce the API surface.
I also don't think it's super important to be same as Scala API there
because Python doesn't have the same type system as Scala.
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