Bulk Operation

SPARK-43797 [Bug] Partition indices are incorrect when UDTF analyze() uses both select and partitionColumns

SPARK-43797 Analyzer bug with multiple ORDER BY items for input table argument

SPARK-43797 Support running Python UDTF 'analyze' method from Spark executors

SPARK-43797 Create API for 'analyze' method to differentiate constant NULL arguments and other types of arguments

SPARK-43797 Create API for 'analyze' method to send input column(s) to output table unchanged

SPARK-43797 Enforce that 'AnalyzeResult' 'orderBy' field is a list of pyspark.sql.functions.OrderingColumn

SPARK-43797 Create API for 'analyze' method to indicate subset of input table columns to select

SPARK-43797 Create API to acquire execution memory for 'eval' and 'terminate' methods

SPARK-43797 Update API for 'analyze' partitioning/ordering columns to support general expressions

SPARK-43797 Create API to stop consuming rows from the input table

SPARK-43797 Return specific error messages if UDTF 'analyze' method accepts or returns wrong values

SPARK-43797 Return useful error message if UDTF returns None for non-nullable column

SPARK-43797 Refactor analyzeInPython function to make it reusable

SPARK-43797 Add API for 'analyze' method to return a buffer to be consumed on each class creation

SPARK-43797 Add a new method `cleanup` in the UDTF interface

SPARK-43797 Project out PARTITION BY expressions before 'eval' method consumes input rows

SPARK-43797 Add API in 'analyze' method to return partitioning/ordering expressions

SPARK-43797 Improve Python UDTF arrow serializer performance

SPARK-43797 Refactor Arrow Python UDTF

SPARK-43797 Add SQL query test suites for Python UDTFs

SPARK-43797 Make Python UDTFs by default non-deterministic

SPARK-43797 Cache the pandas converter for Python UDTFs

SPARK-43797 Support named arguments in Python UDTF

SPARK-43797 Query execution to support PARTITION BY and ORDER BY clause for table arguments

SPARK-43797 Improve the documentation for TABLE input arguments for UDTFs

SPARK-43797 Disable arrow optimization by default for Python UDTFs

SPARK-43797 Set up memory limits for analyze in Python.

SPARK-43797 Improve error messages for creating Python UDTFs with pickling errors

SPARK-43797 Improve error messages for Python UDTF returning non iterable

SPARK-43797 Fix AssertionError when converting UDTF output to a complex type

SPARK-43797 Improve error messages for Python UDTF arrow type casts

SPARK-43797 Add support for accumulator, broadcast, and Spark files in Python UDTF's analyze.

SPARK-43797 Add user guide for Python UDTFs

SPARK-43797 Query planning to support PARTITION BY and ORDER BY clause for table arguments

SPARK-43797 Support Python UDTFs with empty schema

SPARK-43797 Support for UDTF to analyze in Python

SPARK-43797 Refactor PythonUDTFRunner to send its return type separately

SPARK-43797 Support profiler for Python UDTFs

SPARK-43797 Include the name of the UDTF in the error messages generated during the function execution

SPARK-43797 Improve error messages for regular Python UDTFs that return non-tuple values

SPARK-43797 Improve error messages for Python UDTFs with wrong number of outputs

SPARK-43797 Support Python UDTFs with empty return values

SPARK-43797 Support non-deterministic Python UDTFs

SPARK-43797 Support Python UDTFs in Spark Connect

SPARK-43797 Support arrow-optimized Python UDTFs

SPARK-43797 Initial support for Python UDTFs