faucct commented on code in PR #37749:
URL: https://github.com/apache/spark/pull/37749#discussion_r1430108415


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala:
##########
@@ -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 guess, this code is supposed to make sure there is only one child, but it 
was skipped in my execution as `sorted` was empty, though I don't understand 
what is this requirement for:
   
https://github.com/apache/spark/pull/35657/files#diff-715d0c2d59a4ddb8a4b5952c1b05be9f035b6d9b0d9670c70b58989dc722b252R86
   Making `sorted` empty let me pass this check, though I need it for the join 
optimization. But I have managed to bring this property back on the physical 
level using `org.apache.spark.sql.connector.read.SupportsReportOrdering` and 
execute the `SortMergeJoin` without the exchanges and sorts.



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