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https://issues.apache.org/jira/browse/SPARK-16042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15337594#comment-15337594
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Apache Spark commented on SPARK-16042:
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User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/13757
> Eliminate nullcheck code at projection for an array type
> --------------------------------------------------------
>
> Key: SPARK-16042
> URL: https://issues.apache.org/jira/browse/SPARK-16042
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Kazuaki Ishizaki
>
> When we run a spark program with a projection for a array type, nullcheck at
> a call to write each element of an array is generated. If we know all of the
> elements do not have {{null}} at compilation time, we can eliminate code for
> nullcheck.
> {code}
> val df = sparkContext.parallelize(Seq(1.0, 2.0), 1).toDF("v")
> df.selectExpr("Array(v + 2.2, v + 3.3)").collect
> {code}
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