[GitHub] spark pull request: [SPARK-7313] [Spark CORE] Configurable limit t...

[andrewor14 <gi...@git.apache.org>]

Github user andrewor14 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/5848#discussion_r47691687
  
    --- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
    @@ -118,7 +118,8 @@ class RangePartitioner[K : Ordering : ClassTag, V](
           Array.empty
         } else {
           // This is the sample size we need to have roughly balanced output partitions, capped at 1M.
    -      val sampleSize = math.min(20.0 * partitions, 1e6)
    +      val maxSamples = rdd.sparkContext.getConf.getDouble("spark.partitioner.maxSamples", 1e6)
    --- End diff --
    
    if anything this should be `spark.rangePartitioner.maxSamples`


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