Bulk Operation

SPARK-22216 Update document type conversion for Pandas UDFs (pyarrow 0.13.0, pandas 0.24.2, Python 3.7)

SPARK-22216 Internally document type conversion between Pandas data and SQL types in Pandas UDFs

SPARK-22216 Clarify/Improve EvalType for grouped aggregate and window aggregate

SPARK-22216 Register Grouped aggregate UDF Vectorized UDFs for SQL Statement

SPARK-22216 Add an example for having two columns as the grouping key in group aggregate pandas UDF

SPARK-22216 Improve toPandas with Arrow by sending out-of-order record batches

SPARK-22216 Show some kind of test output to indicate pyarrow tests were run

SPARK-22216 Allow None for Decimal type conversion (specific to PyArrow 0.9.0)

SPARK-22216 Support GROUPED_AGG_PANDAS_UDF in Pivot

SPARK-22216 Can not mix vectorized and non-vectorized UDFs

SPARK-22216 User-defined window functions with pandas udf (bounded window)

SPARK-22216 Race condition in ArrowPythonRunner causes unclean shutdown of Arrow memory allocator

SPARK-22216 Pandas Grouped Map UserDefinedFunction mixes column labels

SPARK-22216 Support partial function and callable object with pandas UDF

SPARK-22216 Update Pandas UDFs section in sql-programming-guide

SPARK-22216 Explicitly check supported types in toPandas

SPARK-22216 Improve test cases for all supported types and unsupported types

SPARK-22216 Adds a conf for Arrow fallback in toPandas/createDataFrame with Pandas DataFrame

SPARK-22216 Explicitly specify supported types in Pandas UDFs

SPARK-22216 Fix pandas_udf with return type StringType() to handle str type properly in Python 2.

SPARK-22216 Pandas grouped udf on dataset with timestamp column error

SPARK-22216 Refactor group aggregate pandas UDF to its own catalyst rules

SPARK-22216 Rename Pandas UDFs

SPARK-22216 Change MapVector to NullableMapVector in ArrowColumnVector

SPARK-22216 Decrease memory consumption with toPandas() collection using Arrow

SPARK-22216 Support alternative function form with group aggregate pandas UDF

SPARK-22216 Using pandas_udf when inputs are not Pandas's Series or DataFrame

SPARK-22216 Register Scalar Vectorized UDFs for SQL Statement

SPARK-22216 Improve the description of Vectorized UDFs for non-deterministic cases

SPARK-22216 Add function type argument to pandas_udf

SPARK-22216 Upgrade Arrow to version 0.8.0 and upgrade Netty to 4.1.17

SPARK-22216 Design doc for different types of pandas_udf

SPARK-22216 User-defined aggregation functions with pandas udf

SPARK-22216 User-defined window functions with pandas udf (unbounded window)

SPARK-22216 Simple Vectorized Python UDFs using Arrow

SPARK-22216 SPIP: Vectorized UDFs in Python

SPARK-22216 Use Apache Arrow to Improve Spark createDataFrame from Pandas.DataFrame

SPARK-22216 groupBy().apply() with pandas udf in pyspark