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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