Bulk Operation

SPARK-22386 DataSourceV2: Distribution and ordering support V2 function in writing

SPARK-22386 Not log empty aggregate and group by in JDBCScan

SPARK-22386 Do not split input file for Parquet reader with aggregate push down

SPARK-22386 Add benchmark for aggregate push down

SPARK-22386 Push down filter by partition column for Aggregate (Min/Max/Count) for Parquet

SPARK-22386 Push down group by partition column for Aggregate (Min/Max/Count) for Parquet

SPARK-22386 Aggregate (Min/Max/Count) push down for Parquet

SPARK-22386 Aggregate (Min/Max/Count) push down for ORC

SPARK-22386 DS V2 Aggregate push down

SPARK-22386 Let AQE determine the right parallelism in DistributionAndOrderingUtils

SPARK-22386 DataSource V2: Support required distribution and ordering in SS

SPARK-22386 DataSource V2: Use Write abstraction in StreamExecution

SPARK-22386 DataSource V2: Inject repartition and sort nodes to satisfy required distribution and ordering

SPARK-22386 DataSource V2: Build logical writes in the optimizer

SPARK-22386 Data Source V2: Remove read specific distributions

SPARK-22386 DataSource V2: API to request distribution and ordering on write

SPARK-22386 Pass in number of partitions to BuildWriter

SPARK-22386 DataSourceV2: Add new DataFrameWriter API for v2

SPARK-22386 Recover options and properties and pass them back into the v1 API

SPARK-22386 Avoid to create a readsupport at write path in Data Source V2

SPARK-22386 DataSourceV2: Structured Streaming does not respect SessionConfigSupport

SPARK-22386 Add support for USING syntax for DataSourceV2

SPARK-22386 DataSourceV2: Remove SupportsPushDownCatalystFilters

SPARK-22386 use InternalRow in DataSourceWriter

SPARK-22386 merge ReadSupport and ReadSupportWithSchema

SPARK-22386 remove SupportsDeprecatedScanRow

SPARK-22386 DataSourceV2 should push filters and projection at physical plan conversion

SPARK-22386 Data Source V2: Join Push Down

SPARK-22386 DataSourceV2: Rename DataReaderFactory to InputPartition.

SPARK-22386 DataSourceV2: Add interfaces to pass required sorting and clustering for writes

SPARK-22386 DataSourceV2 should not allow userSpecifiedSchema without ReadSupportWithSchema

SPARK-22386 DataSourceV2 should provide a way to get a source's schema.

SPARK-22386 DataSourceOptions should handle path and table names to avoid confusion.

SPARK-22386 DataSourceV2 readers should always produce InternalRow.

SPARK-22386 DataSourceV2 should use the output commit coordinator.

SPARK-22386 DataSourceV2 should apply some validation when writing.

SPARK-22386 Reorganize packages in data source V2

SPARK-22386 DataSourceV2 should support named tables in DataFrameReader, DataFrameWriter

SPARK-22386 DataSourceV2 should use immutable trees.

SPARK-22386 add `MetadataCreationSupport` trait to separate data and metadata handling at write path

SPARK-22386 Aggregate push down

SPARK-22386 Limit push down