spark-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From superback <andrew.matrix.c...@gmail.com>
Subject Spark on EC2
Date Sun, 01 Jun 2014 04:21:25 GMT
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.

Mime
View raw message