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  1. Spark
  2. SPARK-21410

In RangePartitioner(partitions: Int, rdd: RDD[]), RangePartitioner.numPartitions is wrong if the number of elements in RDD (rdd.count()) is less than number of partitions (partitions in constructor).

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Minor
    • Resolution: Fixed
    • Affects Version/s: 2.0.0, 2.1.0, 2.2.0
    • Fix Version/s: 2.3.0
    • Component/s: Spark Core
    • Labels:
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      Description

      In RangePartitioner(partitions: Int, rdd: RDD[]), RangePartitioner.numPartitions is wrong if the number of elements in RDD (rdd.count()) is less than number of partitions (partitions in constructor).
      Code1 to reproduce:

          import spark.implicits._
          val ds = spark.createDataset(Seq((1, 1)))
          println(ds.sort("_1").rdd.getNumPartitions)
          // The output of println is 2
      

      Code2 to reproduce:

        test("Number of elements in RDD is less than number of partitions") {
          val rdd = sc.parallelize(1 to 3).map(x => (x, x))
          val partitioner = new RangePartitioner(22, rdd)
          assert(partitioner.numPartitions === 3)
        }
      

      This test will be failed because partitioner.numPartitions is 4.

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            • Assignee:
              apeng APeng Zhang
              Reporter:
              apeng APeng Zhang
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              • Created:
                Updated:
                Resolved: