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https://issues.apache.org/jira/browse/SPARK-21870?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16146424#comment-16146424
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Apache Spark commented on SPARK-21870:
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User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/19082
> Split codegen'd aggregation code into small functions for the HotSpot
> ---------------------------------------------------------------------
>
> Key: SPARK-21870
> URL: https://issues.apache.org/jira/browse/SPARK-21870
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Takeshi Yamamuro
> Priority: Minor
>
> In SPARK-21603, we got performance regression if the HotSpot didn't compile
> too long functions (the limit is 80000 in bytecode size).
> I checked and I found the codegen of `HashAggregateExec` frequently goes over
> the limit, for example:
> {code}
> spark.range(10000000).selectExpr("id % 1024 AS a", "id AS
> b").write.saveAsTable("t")
> sql("SELECT a, KURTOSIS(b)FROM t GROUP BY a")
> {code}
> This query goes over the limit and the actual bytecode size is `12356`.
> So, it might be better to split the aggregation code into piecies.
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