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https://issues.apache.org/jira/browse/SPARK-16215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16215.
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Resolution: Duplicate
> Reduce runtime overhead of a program that writes an primitive array in
> Dataframe/Dataset
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-16215
> URL: https://issues.apache.org/jira/browse/SPARK-16215
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Kazuaki Ishizaki
>
> When we run a program that writes an primitive array in Dataframe/Dataset,
> generated code for projection performs null check and element-based data
> copy. We can alleviate overhead of these operations by generating better code.
> A target program
> {code}
> val df = sparkContext.parallelize(Seq(0.0d, 1.0d), 1).toDF
> df.selectExpr("Array(value + 1.1d, value + 2.2d)").collect
> {code}
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