faucct commented on code in PR #37749:
URL: https://github.com/apache/spark/pull/37749#discussion_r1430062134
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala:
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@@ -361,6 +361,18 @@ object KeyGroupedPartitioning {
partitionValues: Seq[InternalRow]): KeyGroupedPartitioning = {
KeyGroupedPartitioning(expressions, partitionValues.size,
Some(partitionValues))
}
+
+ def supportsExpressions(expressions: Seq[Expression]): Boolean = {
Review Comment:
I have managed to execute a `SortMergeJoin` of data sources partitioned by
`(SingleColumnTransform, SortedBucketTransform)` benefitting from the
partitioning, but I have had to transform the DataSourceV2Relation to
DataSourceV2ScanRelation myself and I think it is the only way because of this
check.
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