HyukjinKwon commented on a change in pull request #34505:
URL: https://github.com/apache/spark/pull/34505#discussion_r747936240
##########
File path: python/pyspark/sql/udf.py
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@@ -405,12 +409,10 @@ def register(
PythonEvalType.SQL_SCALAR_PANDAS_UDF,
PythonEvalType.SQL_SCALAR_PANDAS_ITER_UDF,
PythonEvalType.SQL_GROUPED_AGG_PANDAS_UDF,
- PythonEvalType.SQL_MAP_PANDAS_ITER_UDF,
]:
raise ValueError(
"Invalid f: f must be SQL_BATCHED_UDF,
SQL_SCALAR_PANDAS_UDF, "
- "SQL_SCALAR_PANDAS_ITER_UDF, SQL_GROUPED_AGG_PANDAS_UDF or
"
- "SQL_MAP_PANDAS_ITER_UDF."
Review comment:
Oh I had to clarify this. Yeah `SQL_MAP_PANDAS_ITER_UDF` is only used
for `DataFrame.mapInPandas` which cannot be registered as a UDF. I will clarify
this in Pr description.
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