Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Incomplete
    • Affects Version/s: 2.2.1, 2.3.0
    • Fix Version/s: None
    • Component/s: SQL
    • Labels:

      Description

      The following programs can throw an exception due to the 64KB JVM bytecode limit

          val df = spark.sparkContext.parallelize(
            Seq((1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.0, 11.1, 12.2, 13.3, 14.4, 15.5, 16.6, 17.7, 18.8, 19.9, 20.0, 21.1, 22.2)),
            1).toDF()
      
          df.agg(
            kurtosis('_1), kurtosis('_2), kurtosis('_3), kurtosis('_4), kurtosis('_5),
            kurtosis('_6), kurtosis('_7), kurtosis('_8), kurtosis('_9), kurtosis('_10),
            kurtosis('_11), kurtosis('_12), kurtosis('_13), kurtosis('_14), kurtosis('_15)
          ).collect
      
          df.groupBy('_22)
            .agg(
              kurtosis('_1), kurtosis('_2), kurtosis('_3), kurtosis('_4), kurtosis('_5),
              kurtosis('_6), kurtosis('_7), kurtosis('_8), kurtosis('_9), kurtosis('_10),
              kurtosis('_11), kurtosis('_12), kurtosis('_13), kurtosis('_14), kurtosis('_15)
          ).collect
      
          df.groupBy(
              round('_1, 0), round('_2, 0), round('_3, 0), round('_4, 0), round('_5, 0),
              round('_6, 0), round('_7, 0), round('_8, 0), round('_9, 0), round('_10, 0))
            .agg(
              kurtosis('_1), kurtosis('_2), kurtosis('_3), kurtosis('_4), kurtosis('_5),
              kurtosis('_6), kurtosis('_7)
          ).collect
      

      */

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            • Assignee:
              Unassigned
              Reporter:
              kiszk Kazuaki Ishizaki
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              Dates

              • Created:
                Updated:
                Resolved: