[
https://issues.apache.org/jira/browse/SPARK-22868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kazuaki Ishizaki updated SPARK-22868:
-------------------------------------
Issue Type: Sub-task (was: Bug)
Parent: SPARK-22510
> 64KB JVM bytecode limit problem with aggregation
> ------------------------------------------------
>
> Key: SPARK-22868
> URL: https://issues.apache.org/jira/browse/SPARK-22868
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.2.1, 2.3.0
> Reporter: Kazuaki Ishizaki
>
> The following programs can throw an exception due to the 64KB JVM bytecode
> limit
> {code}
> 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
> {code}
> */
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