Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/22620#discussion_r222487117
  
    --- Diff: python/pyspark/sql/udf.py ---
    @@ -310,9 +319,11 @@ def register(self, name, f, returnType=None):
                         "Invalid returnType: data type can not be specified 
when f is"
                         "a user-defined function, but got %s." % returnType)
                 if f.evalType not in [PythonEvalType.SQL_BATCHED_UDF,
    -                                  PythonEvalType.SQL_SCALAR_PANDAS_UDF]:
    +                                  PythonEvalType.SQL_SCALAR_PANDAS_UDF,
    +                                  
PythonEvalType.SQL_GROUPED_AGG_PANDAS_UDF]:
    --- End diff --
    
    These need to be clearly defined in Apache Spark 3.0 release; otherwise, it 
might be confusing to both developers and end users. :-)


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