Yicong-Huang commented on code in PR #53043:
URL: https://github.com/apache/spark/pull/53043#discussion_r2563437419
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python/pyspark/worker.py:
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@@ -3270,6 +3260,39 @@ def mapper(a):
df2_vals = table_from_batches(a[1], parsed_offsets[1][1])
return f(df1_keys, df1_vals, df2_keys, df2_vals)
+ elif eval_type in (
+ PythonEvalType.SQL_GROUPED_AGG_PANDAS_UDF,
+ PythonEvalType.SQL_WINDOW_AGG_PANDAS_UDF,
Review Comment:
the return type of GroupPandasUDFSerializer is an iterator now. The mapper
for SQL_GROUPED_AGG_PANDAS_UDF and SQL_WINDOW_AGG_PANDAS_UDF are expecting a
list (so it can use a[0] to access the column). The iterator returned from
GroupPandasUDFSerializer has to be converted to a list in their mapper.
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