[jira] [Assigned] (SPARK-16042) Eliminate nullcheck code at projection for an array type

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16042:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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