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SPARK-48566
[Bug] Partition indices are incorrect when UDTF analyze() uses both select and partitionColumnsSPARK-48180
Analyzer bug with multiple ORDER BY items for input table argumentSPARK-47976
Support running Python UDTF 'analyze' method from Spark executorsSPARK-47214
Create API for 'analyze' method to differentiate constant NULL arguments and other types of argumentsSPARK-47032
Create API for 'analyze' method to send input column(s) to output table unchangedSPARK-47002
Enforce that 'AnalyzeResult' 'orderBy' field is a list of pyspark.sql.functions.OrderingColumnSPARK-46966
Create API for 'analyze' method to indicate subset of input table columns to selectSPARK-46638
Create API to acquire execution memory for 'eval' and 'terminate' methodsSPARK-46040
Update API for 'analyze' partitioning/ordering columns to support general expressionsSPARK-45810
Create API to stop consuming rows from the input tableSPARK-45746
Return specific error messages if UDTF 'analyze' method accepts or returns wrong valuesSPARK-45523
Return useful error message if UDTF returns None for non-nullable columnSPARK-45505
Refactor analyzeInPython function to make it reusableSPARK-45402
Add API for 'analyze' method to return a buffer to be consumed on each class creationSPARK-45401
Add a new method `cleanup` in the UDTF interfaceSPARK-45362
Project out PARTITION BY expressions before 'eval' method consumes input rowsSPARK-44901
Add API in 'analyze' method to return partitioning/ordering expressionsSPARK-44856
Improve Python UDTF arrow serializer performanceSPARK-44836
Refactor Arrow Python UDTFSPARK-44834
Add SQL query test suites for Python UDTFsSPARK-44822
Make Python UDTFs by default non-deterministicSPARK-44766
Cache the pandas converter for Python UDTFsSPARK-44749
Support named arguments in Python UDTFSPARK-44748
Query execution to support PARTITION BY and ORDER BY clause for table argumentsSPARK-44746
Improve the documentation for TABLE input arguments for UDTFsSPARK-44663
Disable arrow optimization by default for Python UDTFsSPARK-44648
Set up memory limits for analyze in Python.SPARK-44644
Improve error messages for creating Python UDTFs with pickling errorsSPARK-44640
Improve error messages for Python UDTF returning non iterableSPARK-44561
Fix AssertionError when converting UDTF output to a complex typeSPARK-44559
Improve error messages for Python UDTF arrow type castsSPARK-44533
Add support for accumulator, broadcast, and Spark files in Python UDTF's analyze.SPARK-44508
Add user guide for Python UDTFsSPARK-44503
Query planning to support PARTITION BY and ORDER BY clause for table argumentsSPARK-44479
Support Python UDTFs with empty schemaSPARK-44380
Support for UDTF to analyze in PythonSPARK-44249
Refactor PythonUDTFRunner to send its return type separatelySPARK-44009
Support profiler for Python UDTFsSPARK-44008
Include the name of the UDTF in the error messages generated during the function executionSPARK-44005
Improve error messages for regular Python UDTFs that return non-tuple valuesSPARK-43968
Improve error messages for Python UDTFs with wrong number of outputsSPARK-43967
Support Python UDTFs with empty return valuesSPARK-43966
Support non-deterministic Python UDTFsSPARK-43965
Support Python UDTFs in Spark ConnectSPARK-43964
Support arrow-optimized Python UDTFsSPARK-43798
Initial support for Python UDTFs
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