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.