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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