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[SPARK-22939] [PySpark] Support Spark UDF in registerFunction #20137

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[SPARK-22939] [PySpark] Support Spark UDF in registerFunction #20137

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gatorsmile committed Jan 2, 2018
commit 0ecdf63e8d8178528c46254859c4c0c10b80ba08
6 changes: 2 additions & 4 deletions python/pyspark/sql/catalog.py
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Expand Up @@ -267,13 +267,11 @@ def registerFunction(self, name, f, returnType=StringType()):

if hasattr(f, 'asNondeterministic'):
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@HyukjinKwon HyukjinKwon Jan 3, 2018

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Actually, this one made me to suggest wrapper._unwrapped = lambda: self way.

So, here this can be wrapped function or UserDefinedFunction and I thought it's not quite clear what we expect here by hasattr(f, 'asNondeterministic').

Could we at least leave come comments saying that this can be both wrapped function for UserDefinedFunction and UserDefinedFunction itself?

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@gatorsmile gatorsmile Jan 3, 2018

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will add a comment.

udf = f._set_name(name, returnType)
self._jsparkSession.udf().registerPython(name, udf._judf)
return udf._wrapped()
else:
udf = UserDefinedFunction(f, returnType=returnType, name=name,
evalType=PythonEvalType.SQL_BATCHED_UDF)
self._jsparkSession.udf().registerPython(name, udf._judf)
return udf._wrapped()
self._jsparkSession.udf().registerPython(name, udf._judf)
return udf._wrapped()

@since(2.0)
def isCached(self, tableName):
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