[jira] [Commented] (SPARK-2823) GraphX jobs throw IllegalArgumentException
[ https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14289499#comment-14289499 ] Pedro Rodriguez commented on SPARK-2823: I looked into this more and it looks like in addition to a bug in GraphX there is a bug in Spark core with handling textFile and zip https://issues.apache.org/jira/browse/SPARK-5385. Not certain if they may be related. 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$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1184) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) -- This
[jira] [Commented] (SPARK-2823) GraphX jobs throw IllegalArgumentException
[ https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14288893#comment-14288893 ] Josh Rosen commented on SPARK-2823: --- I think that the Snappy error was caused by a different change, so it should be safe to re-attempt the original fix. There's a PR for this at https://github.com/apache/spark/pull/4136 (opened for SPARK-5351, a possible duplicate of this issue) GraphX jobs throw IllegalArgumentException -- Key: SPARK-2823 URL: https://issues.apache.org/jira/browse/SPARK-2823 Project: Spark Issue Type: Bug Components: GraphX Reporter: Lu Lu If the users set “spark.default.parallelism” and the value is different with the EdgeRDD partition number, GraphX jobs will throw IllegalArgumentException: 14/07/26 21:06:51 WARN DAGScheduler: Creating new stage failed due to exception - job: 1 java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of partitions at org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:60) at org.apache.spark.rdd.RDD$$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)
[jira] [Commented] (SPARK-2823) GraphX jobs throw IllegalArgumentException
[ https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=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$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1184) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at
[jira] [Commented] (SPARK-2823) GraphX jobs throw IllegalArgumentException
[ https://issues.apache.org/jira/browse/SPARK-2823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14247480#comment-14247480 ] Josh Rosen commented on SPARK-2823: --- I've removed the Fix Versions from this JIRA because its fix was reverted. GraphX jobs throw IllegalArgumentException -- Key: SPARK-2823 URL: https://issues.apache.org/jira/browse/SPARK-2823 Project: Spark Issue Type: Bug Components: GraphX Reporter: Lu Lu If the users set “spark.default.parallelism” and the value is different with the EdgeRDD partition number, GraphX jobs will throw IllegalArgumentException: 14/07/26 21:06:51 WARN DAGScheduler: Creating new stage failed due to exception - job: 1 java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of partitions at org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:60) at org.apache.spark.rdd.RDD$$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) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail:
