Hmm.. you've gotten further than me. Which AMI's are you using?
On Sun, Jun 1, 2014 at 2:21 PM, superback <andrew.matrix.c...@gmail.com> wrote: > Hi, > I am trying to run an example on AMAZON EC2 and have successfully > set up one cluster with two nodes on EC2. However, when I was testing an > example using the following command, > > * > ./run-example org.apache.spark.examples.GroupByTest > spark://`hostname`:7077* > > I got the following warnings and errors. Can anyone help one solve this > problem? Thanks very much! > > 46781 [Timer-0] WARN org.apache.spark.scheduler.TaskSchedulerImpl - Initial > job has not accepted any resources; check your cluster UI to ensure that > workers are registered and have sufficient memory > 61544 [spark-akka.actor.default-dispatcher-3] ERROR > org.apache.spark.deploy.client.AppClient$ClientActor - All masters are > unresponsive! Giving up. > 61544 [spark-akka.actor.default-dispatcher-3] ERROR > org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend - Spark > cluster looks dead, giving up. > 61546 [spark-akka.actor.default-dispatcher-3] INFO > org.apache.spark.scheduler.TaskSchedulerImpl - Remove TaskSet 0.0 from pool > 61549 [main] INFO org.apache.spark.scheduler.DAGScheduler - Failed to run > count at GroupByTest.scala:50 > Exception in thread "main" org.apache.spark.SparkException: Job aborted: > Spark cluster looks down > 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) > > > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-on-EC2-tp6638.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > -- Jeremy Lee BCompSci(Hons) The Unorthodox Engineers
