spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Mayur Rustagi <mayur.rust...@gmail.com>
Subject Re: Error: UnionPartition cannot be cast to org.apache.spark.rdd.HadoopPartition
Date Wed, 02 Jul 2014 06:11:57 GMT
Ideally you should be converting RDD to schemardd ?
You are creating UnionRDD to join across dstream rdd?


Mayur Rustagi
Ph: +1 (760) 203 3257
http://www.sigmoidanalytics.com
@mayur_rustagi <https://twitter.com/mayur_rustagi>



On Tue, Jul 1, 2014 at 3:11 PM, Honey Joshi <honeyjoshi@ideata-analytics.com
> wrote:

> Hi,
> I am trying to run a project which takes data as a DStream and dumps the
> data in the Shark table after various operations. I am getting the
> following error :
>
> Exception in thread "main" org.apache.spark.SparkException: Job aborted:
> Task 0.0:0 failed 1 times (most recent failure: Exception failure:
> java.lang.ClassCastException: org.apache.spark.rdd.UnionPartition cannot
> be cast to org.apache.spark.rdd.HadoopPartition)
>         at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1028)
>         at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1026)
>         at
>
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>         at
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>         at
> org.apache.spark.scheduler.DAGScheduler.org
> $apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1026)
>         at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619)
>         at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619)
>         at scala.Option.foreach(Option.scala:236)
>         at
>
> org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:619)
>         at
>
> org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:207)
>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>         at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>         at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>         at
>
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>         at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>         at
>
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>         at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>         at
>
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>
> Can someone please explain the cause of this error, I am also using a
> Spark Context with the existing Streaming Context.
>

Mime
View raw message