Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18861#discussion_r131570879
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
---
@@ -753,6 +753,16 @@ case class Repartition(numPartitions: Int, shuffle:
Boolean, child: LogicalPlan)
}
/**
+ * Returns a new RDD that has at most `numPartitions` partitions. This
behavior can be modified by
+ * supplying a `PartitionCoalescer` to control the behavior of the
partitioning.
+ */
+case class PartitionCoalesce(numPartitions: Int, coalescer:
PartitionCoalescer, child: LogicalPlan)
+ extends UnaryNode {
--- End diff --
Adding new logical nodes also needs the updates in multiple different
components. (e.g., Optimizer).
Is that possible to reuse the existing node `Repartition`?
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