sunchao commented on code in PR #42839:
URL: https://github.com/apache/spark/pull/42839#discussion_r1317833964
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala:
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@@ -143,17 +143,16 @@ trait DataSourceV2ScanExecBase extends LeafExecNode {
// also sort the input partitions according to their partition key
order. This ensures
// a canonical order from both sides of a bucketed join, for example.
val partitionDataTypes = expressions.map(_.dataType)
- val partitionOrdering: Ordering[(InternalRow, InputPartition)] = {
-
RowOrdering.createNaturalAscendingOrdering(partitionDataTypes).on(_._1)
- }
- val sortedKeyToPartitions = results.sorted(partitionOrdering)
- val groupedPartitions = sortedKeyToPartitions
+ val rowOrdering =
RowOrdering.createNaturalAscendingOrdering(partitionDataTypes)
+ val sortedKeyToPartitions = results.sorted(rowOrdering.on(_._1))
Review Comment:
Hmm this is the partition value -> input split mapping before the `groupBy`
though. It also need to be returned.
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