I am running Spark 1.0.1 on a 5 node yarn cluster. I have set the driver memory to 8G and executor memory to about 12G.
Regards, Krishna On Mon, Jul 14, 2014 at 5:56 PM, Xiangrui Meng <[email protected]> wrote: > Is it on a standalone server? There are several settings worthing checking: > > 1) number of partitions, which should match the number of cores > 2) driver memory (you can see it from the executor tab of the Spark > WebUI and set it with "--driver-memory 10g" > 3) the version of Spark you were running > > Best, > Xiangrui > > On Mon, Jul 14, 2014 at 12:14 PM, Srikrishna S <[email protected]> > wrote: >> That is exactly the same error that I got. I am still having no success. >> >> Regards, >> Krishna >> >> On Mon, Jul 14, 2014 at 11:50 AM, crater <[email protected]> wrote: >>> Hi Krishna, >>> >>> Thanks for your help. Are you able to get your 29M data running yet? I fix >>> the previous problem by setting larger spark.akka.frameSize, but now I get >>> some other errors below. Did you get these errors before? >>> >>> >>> 14/07/14 11:32:20 ERROR TaskSchedulerImpl: Lost executor 1 on node7: remote >>> Akka client disassociated >>> 14/07/14 11:32:20 WARN TaskSetManager: Lost TID 20 (task 13.0:0) >>> 14/07/14 11:32:21 ERROR TaskSchedulerImpl: Lost executor 3 on node8: remote >>> Akka client disassociated >>> 14/07/14 11:32:21 WARN TaskSetManager: Lost TID 21 (task 13.0:1) >>> 14/07/14 11:32:23 ERROR TaskSchedulerImpl: Lost executor 6 on node3: remote >>> Akka client disassociated >>> 14/07/14 11:32:23 WARN TaskSetManager: Lost TID 22 (task 13.0:0) >>> 14/07/14 11:32:25 ERROR TaskSchedulerImpl: Lost executor 0 on node4: remote >>> Akka client disassociated >>> 14/07/14 11:32:25 WARN TaskSetManager: Lost TID 23 (task 13.0:1) >>> 14/07/14 11:32:26 ERROR TaskSchedulerImpl: Lost executor 5 on node1: remote >>> Akka client disassociated >>> 14/07/14 11:32:26 WARN TaskSetManager: Lost TID 24 (task 13.0:0) >>> 14/07/14 11:32:28 ERROR TaskSchedulerImpl: Lost executor 7 on node6: remote >>> Akka client disassociated >>> 14/07/14 11:32:28 WARN TaskSetManager: Lost TID 26 (task 13.0:0) >>> 14/07/14 11:32:28 ERROR TaskSetManager: Task 13.0:0 failed 4 times; aborting >>> job >>> Exception in thread "main" org.apache.spark.SparkException: Job aborted due >>> to stage failure: Task 13.0:0 failed 4 times, most recent failure: TID 26 on >>> host node6 failed for unknown reason >>> Driver stacktrace: >>> at >>> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1044) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1028) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1026) >>> at >>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >>> at >>> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >>> at >>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1026) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:634) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:634) >>> at scala.Option.foreach(Option.scala:236) >>> at >>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:634) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1229) >>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) >>> at akka.actor.ActorCell.invoke(ActorCell.scala:456) >>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) >>> at akka.dispatch.Mailbox.run(Mailbox.scala:219) >>> at >>> akka.dispatch.ForkJoinExecutorConfigurator$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) >>> >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/Error-when-testing-with-large-sparse-svm-tp9592p9623.html >>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
