[GitHub] spark pull request #15045: [Spark Core][MINOR] fix "default partitioner cann...

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

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

    https://github.com/apache/spark/pull/15045#discussion_r78297901
  
    --- Diff: core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala ---
    @@ -530,7 +530,7 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
        */
       def partitionBy(partitioner: Partitioner): RDD[(K, V)] = self.withScope {
         if (keyClass.isArray && partitioner.isInstanceOf[HashPartitioner]) {
    -      throw new SparkException("Default partitioner cannot partition array keys.")
    +      throw new SparkException("Specified partitioner cannot partition array keys.")
    --- End diff --
    
    Even this method is called by other Spark code with HashPartitioner, which might lead to this error telling the user the "specified" partitioner doesn't work when the user code didn't specify a partitioner.


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