Hyukjin Kwon created SPARK-61163:
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Summary: Make GroupedData.apply take only pandas UDFs of
SQL_GROUPED_MAP_PANDAS_UDF, and warn, in the Python client as PySpark does
Key: SPARK-61163
URL: https://issues.apache.org/jira/browse/SPARK-61163
Project: Spark
Issue Type: Bug
Components: Connect
Affects Versions: connect-rust-4.3.0
Reporter: Hyukjin Kwon
PySpark Connect's GroupedData.apply takes only a pandas_udf of
SQL_GROUPED_MAP_PANDAS_UDF: anything else, such as a function, a UDF of another
eval type or a Column (which has any attribute), raises PySparkTypeError
INVALID_UDF_EVAL_TYPE of eval_type SQL_GROUPED_MAP_PANDAS_UDF. It applies such
a UDF with applyInPandas, with a UserWarning to prefer applyInPandas.
The Python client checks only that the argument has a func attribute: it raises
a plain TypeError ("apply() expects a pandas_udf of type
SQL_GROUPED_MAP_PANDAS_UDF") for a function, sends a UDF of another eval type
or a Column's field to applyInPandas, and does not warn. Apache Spark's
test_wrong_args of test_parity_pandas_grouped_map.py fails on this client.
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