Unable to start a stand app in scala on a spark cluster

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Unable to start a stand app in scala on a spark cluster

Jaonary Rabarisoa
Hi all, 

I'm trying to play with a spark cluster with one master and one worker on my laptop.
With my setup, I'm able to run the examples that come with spark as expected. For example with SparkPi 

./bin/run-example org.apache.spark.examples.SparkPi spark://luigi:7077

works without error.

But when I try run the same example in a separate project build with 

   sbt run 

I got the following error :

INFO client.AppClient$ClientActor: Connecting to master spark://luigi:7077...
14/03/12 22:40:37 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
14/03/12 22:40:52 ERROR client.AppClient$ClientActor: All masters are unresponsive! Giving up.
14/03/12 22:40:52 ERROR cluster.SparkDeploySchedulerBackend: Spark cluster looks dead, giving up.
14/03/12 22:40:52 INFO scheduler.TaskSchedulerImpl: Remove TaskSet 0.0 from pool 
14/03/12 22:40:52 INFO scheduler.DAGScheduler: Failed to run reduce at SparkPi.scala:35
[error] (run-main-0) org.apache.spark.SparkException: Job aborted: Spark cluster looks down
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$1.applyOrElse(DAGScheduler.scala:a207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$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)
[trace] Stack trace suppressed: run last compile:run for the full output.
14/03/12 22:40:52 INFO network.ConnectionManager: Selector thread was interrupted!



The content of my build.sbt is as follow :

name := "spark-playground"
 
 version := "1.0"
 
 scalaVersion := "2.10.3"
 
 libraryDependencies += "org.apache.spark" %% "spark-core" % "0.9.0-incubating"
 
 resolvers += "Akka Repository" at "http://repo.akka.io/releases/"


Any idea ?