[GitHub] spark pull request #16677: [SPARK-19355][SQL] Use map output statistices to ...

[scwf <gi...@git.apache.org>]

Github user scwf commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16677#discussion_r97700568
  
    --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala ---
    @@ -230,6 +230,21 @@ case object SinglePartition extends Partitioning {
     }
     
     /**
    + * Represents a partitioning where rows are only serialized/deserialized locally. The number
    + * of partitions are not changed and also the distribution of rows. This is mainly used to
    + * obtain some statistics of map tasks such as number of outputs.
    + */
    +case class FakePartitioning(orgPartition: Partitioning, numPartitions: Int) extends Partitioning {
    --- End diff --
    
    how about `LocalPartitioning`


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