[SPARK-45036][FOLLOWUP][SQL] SPJ: Make sure result partitions are sor…

…ted according to partition values

### What changes were proposed in this pull request?

This PR makes sure the result grouped partitions from `DataSourceV2ScanExec#groupPartitions` are sorted according to the partition values. Previously in the apache#42757 we were assuming Scala would preserve the input ordering but apparently that's not the case.

### Why are the changes needed?

See apache#42757 (comment) for diagnosis. The partition ordering is a fundamental property for SPJ and thus must be guaranteed.

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

We have tests in `KeyGroupedPartitioningSuite` to cover this.

### Was this patch authored or co-authored using generative AI tooling?

Closes apache#42839 from sunchao/SPARK-45036-followup.

Authored-by: Chao Sun <sunchao@apple.com>
Signed-off-by: yangjie01 <yangjie01@baidu.com>

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala

@@ -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((t: (InternalRow, _)) => t._1))
+        val sortedGroupedPartitions = sortedKeyToPartitions
             .map(t => (InternalRowComparableWrapper(t._1, expressions), t._2))
             .groupBy(_._1)
             .toSeq
             .map { case (key, s) => KeyGroupedPartition(key.row, s.map(_._2)) }
+            .sorted(rowOrdering.on((k: KeyGroupedPartition) => k.value))
 
-        Some(KeyGroupedPartitionInfo(groupedPartitions, sortedKeyToPartitions.map(_._2)))
+        Some(KeyGroupedPartitionInfo(sortedGroupedPartitions, sortedKeyToPartitions.map(_._2)))
       }
     }
   }