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https://issues.apache.org/jira/browse/SPARK-20007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17104967#comment-17104967
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Apache Spark commented on SPARK-20007:
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User 'liangz1' has created a pull request for this issue:
https://github.com/apache/spark/pull/28504
> Make SparkR apply() functions robust to workers that return empty data.frame
> ----------------------------------------------------------------------------
>
> Key: SPARK-20007
> URL: https://issues.apache.org/jira/browse/SPARK-20007
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.2.0
> Reporter: Hossein Falaki
> Priority: Major
> Labels: bulk-closed
>
> When using {{gapply()}} (or other members of {{apply()}} family) with a
> schema, Spark will try to parse data returned form the R process on each
> worker as Spark DataFrame Rows based on the schema. In this case our provided
> schema suggests that we have six column. When an R worker returns results to
> JVM, SparkSQL will try to access its columns one by one and cast them to
> proper types. If R worker returns nothing, JVM will throw
> {{ArrayIndexOutOfBoundsException}} exception.
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