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Posted to issues@spark.apache.org by "Pedro Rodriguez (JIRA)" <ji...@apache.org> on 2015/01/20 03:46:34 UTC
[jira] [Commented] (SPARK-2823) GraphX jobs throw
IllegalArgumentException
[ https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14283331#comment-14283331 ]
Pedro Rodriguez commented on SPARK-2823:
----------------------------------------
I just ran into this bug while testing LDA code (hasn't ever happened before). I am not sure what causes it, but rather than running it in cluster or locally, I am running it on a Docker container. It also looks like if you run with local[2], the problem could be reproduced.
Is this being worked on or should I maybe try looking into it soon?
> GraphX jobs throw IllegalArgumentException
> ------------------------------------------
>
> Key: SPARK-2823
> URL: https://issues.apache.org/jira/browse/SPARK-2823
> Project: Spark
> Issue Type: Bug
> Components: GraphX
> Reporter: Lu Lu
>
> If the users set “spark.default.parallelism” and the value is different with the EdgeRDD partition number, GraphX jobs will throw IllegalArgumentException:
> 14/07/26 21:06:51 WARN DAGScheduler: Creating new stage failed due to exception - job: 1
> java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of partitions
> at org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:60)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:54)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$getShuffleMapStage(DAGScheduler.scala:1
> 97)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:272)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:269)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$visit$1(DAGScheduler.scala:269)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:274)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:269)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$visit$1(DAGScheduler.scala:269)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:274)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$visit$1$1.apply(DAGScheduler.s
> cala:269)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$visit$1(DAGScheduler.scala:269)
> at org.apache.spark.scheduler.DAGScheduler.getParentStages(DAGScheduler.scala:279)
> at org.apache.spark.scheduler.DAGScheduler.newStage(DAGScheduler.scala:219)
> at org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:672)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1184)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
> at akka.dispatch.ForkJoinExecutorConfigurator$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)
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