[ 
https://issues.apache.org/jira/browse/SPARK-5744?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-5744:
-----------------------------
    Assignee: Sean Owen  (was: Tobias Bertelsen)

There was ultimately no good fix; partial fixes only raised more issues. The 
behavior is now documented (and a slightly related minor bug in histogram is 
resolved)

> RDD.isEmpty / take fails for (empty) RDD of Nothing
> ---------------------------------------------------
>
>                 Key: SPARK-5744
>                 URL: https://issues.apache.org/jira/browse/SPARK-5744
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>            Reporter: Tobias Bertelsen
>            Assignee: Sean Owen
>            Priority: Minor
>             Fix For: 1.4.0
>
>   Original Estimate: 0h
>  Remaining Estimate: 0h
>
> The implementation of {{RDD.isEmpty()}} fails if there is empty partitions. 
> It was introduce by https://github.com/apache/spark/pull/4074
> Example:
> {code}
> sc.parallelize(Seq(), 1).isEmpty()
> {code}
> The above code throws an exception like this:
> {code}
> org.apache.spark.SparkDriverExecutionException: Execution error
>     at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:977)
>     at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1374)
>     at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1338)
>     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> Cause: java.lang.ArrayStoreException: [Ljava.lang.Object;
>     at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
>     at 
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1466)
>     at 
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1466)
>     at org.apache.spark.scheduler.JobWaiter.taskSucceeded(JobWaiter.scala:56)
>     at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:973)
>     at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1374)
>     at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1338)
>     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> {code}



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