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https://issues.apache.org/jira/browse/SPARK-16213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-16213.
---------------------------------
Resolution: Fixed
Assignee: Kazuaki Ishizaki
Fix Version/s: 2.2.0
> Reduce runtime overhead of a program that creates an primitive array in
> DataFrame
> ---------------------------------------------------------------------------------
>
> Key: SPARK-16213
> URL: https://issues.apache.org/jira/browse/SPARK-16213
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Kazuaki Ishizaki
> Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0
>
>
> Reduce runtime overhead of a program that creates an primitive array in
> DataFrame
> When a program creates an array in DataFrame, the code generator creates
> boxing operations. If an array is for primitive type, there are some
> opportunities for optimizations in generated code to reduce runtime overhead.
> Here is a simple example that has generated code with boxing operation
> {code}
> val df = sparkContext.parallelize(Seq(0.0d, 1.0d), 1).toDF
> df.selectExpr("Array(value + 1.1d, value + 2.2d)").show
> {code}
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