cloud-fan commented on code in PR #52153:
URL: https://github.com/apache/spark/pull/52153#discussion_r2315072621
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala:
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@@ -946,3 +946,43 @@ case class ShuffleSpecCollection(specs: Seq[ShuffleSpec])
extends ShuffleSpec {
specs.head.numPartitions
}
}
+
+/**
+ * Represents a partitioning where partition IDs are passed through directly
from the
+ * DirectShufflePartitionID expression. This partitioning scheme is used when
users
+ * want to directly control partition placement rather than using hash-based
partitioning.
+ *
+ * This partitioning maps directly to the PartitionIdPassthrough RDD
partitioner.
+ */
+case class ShufflePartitionIdPassThrough(
+ expr: DirectShufflePartitionID,
+ numPartitions: Int) extends Expression with Partitioning with Unevaluable {
Review Comment:
nit: we can put this class in the partitioning section? i.e. before `trait
ShuffleSpec`
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