spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-5744) RDD.isEmpty / take fails for (empty) RDD of Nothing
Date Fri, 13 Feb 2015 14:45:11 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5744?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen updated SPARK-5744:
-----------------------------
    Priority: Minor  (was: Critical)
    Assignee: Tobias Bertelsen
     Summary: RDD.isEmpty / take fails for (empty) RDD of Nothing  (was: RDD.isEmpty fails
when rdd contains empty partitions.)

> 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: Tobias Bertelsen
>            Priority: Minor
>   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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message