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- SPARK-42765
Enable importing `pandas_udf` from `pyspark.sql.connect.functions` - SPARK-42643
Register Java (aggregate) user-defined functions - SPARK-42630
Make `parse_data_type` use new proto message `DDLParse` - SPARK-42428
Standardize __repr__ of CommonInlineUserDefinedFunction - SPARK-42269
Support complex return types in DDL strings - SPARK-42263
Implement `spark.catalog.registerFunction` - SPARK-42211
Python UDFs with inconsistent client and server versions - SPARK-42210
Standardize registered pickled Python UDFs - SPARK-42208
Reuse UDF test cases under `pyspark.sql.tests` - SPARK-42126
Accept return type in DDL strings for Python Scalar UDFs in Spark Connect - SPARK-42125
Pandas UDF in Spark Connect - SPARK-42124
Scalar Inline Python UDF in Spark Connect - SPARK-41662
Minimal support for pickled Python UDFs
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