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https://issues.apache.org/jira/browse/SPARK-15985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15333331#comment-15333331
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Apache Spark commented on SPARK-15985:
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User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/13704
> Reduce runtime overhead of a program that reads an primitive array in Dataset
> -----------------------------------------------------------------------------
>
> Key: SPARK-15985
> URL: https://issues.apache.org/jira/browse/SPARK-15985
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Kazuaki Ishizaki
>
> When a program read an array in Dataset, the code generator create some copy
> operations. If an array is for primitive type, there are some opportunities
> for optimizations in generated code to reduce runtime overhead.
> {code}
> val ds = Seq(Array(1.0, 2.0, 3.0), Array(4.0, 5.0, 6.0)).toDS()
> ds.map(p => {
> var s = 0.0
> for (i <- 0 to 2) { s += p(i) }
> s
> }).show
> {code}
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