HyukjinKwon commented on code in PR #53375:
URL: https://github.com/apache/spark/pull/53375#discussion_r2596660384
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala:
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@@ -676,6 +676,29 @@ case class ShufflePartitionIdPassThrough(
copy(expr = newChildren.head.asInstanceOf[DirectShufflePartitionID])
}
+/**
+ * Represents a partitioning where rows are distributed using a custom
[[Partitioner]].
+ *
+ * The key extraction function is applied to deserialize each row and extract
a key,
+ * which is then passed to the partitioner to determine the target partition.
+ */
+case class CustomFunctionPartitioning(
Review Comment:
Isn't https://github.com/apache/spark/pull/52153 enough to cover the custom
partition case?
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