Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8083#discussion_r41442714
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala
---
@@ -194,6 +194,17 @@ case class UnknownPartitioning(numPartitions: Int)
extends Partitioning {
override def guarantees(other: Partitioning): Boolean = false
}
+case class RandomPartitioning(numPartitions: Int) extends Partitioning {
--- End diff --
Argh, change my mind: going to stick with RoundRobin, since these names are
actually describing the strategies used to distribute records.
EvenlyDistributed sounds more like the name of a distribution than a
partitioning anyways.
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