Kazuaki Ishizaki created SPARK-22868:
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Summary: 64KB JVM bytecode limit problem with aggregation
Key: SPARK-22868
URL: https://issues.apache.org/jira/browse/SPARK-22868
Project: Spark
Issue Type: Bug
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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