我有带Hadoop 2.2.0的Hortonworks沙盒，我在沙盒上安装了Apache spark技术预览版。
虽然我能够在本地模式下运行spark Java示例，但我无法在yarn客户端模式下运行Java示例。
以下是我用于执行的步骤：
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在Eclipse IDE中，我创建了一个Java项目，并在src director下制作了一个文件JavaWordCount，代码取自Apache spark附带的示例。
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然后，我使用Eclipse->export->创建了一个jar，并将该jar文件保存在本地系统中。
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然后在终端上，我去了spark主目录，并给出了以下命令：
[train@sandbox spark-1.2.0.2.2.0.0-82-bin-2.6.0.2.2.0.0-2041]$ b**in/spark-submit --class JavaWordCount --master yarn-client --num-executors 1 --driver-memory 512m --executor-memory 512m --executor-cores 1 /home/train/Desktop/sparkwc3.jar /README.md /out1我的文件在hdfs上的位置。
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我得到以下错误：
15/02/28 11:04:02 ERROR cluster.YarnClientClusterScheduler: Lost executor 2 on sandbox.hortonworks.com: remote Akka client disassociated 15/02/28 11:04:02 INFO scheduler.TaskSetManager: Re-queueing tasks for 2 from TaskSet 0.0 15/02/28 11:04:02 WARN scheduler.TaskSetManager: Lost task 0.3 in stage 0.0 (TID 3, sandbox.hortonworks.com): ExecutorLostFailure (executor 2 lost) 15/02/28 11:04:02 ERROR scheduler.TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job 15/02/28 11:04:02 INFO cluster.YarnClientClusterScheduler: Removed TaskSet 0.0, whose tasks have all completed, from pool 15/02/28 11:04:02 ERROR cluster.YarnClientSchedulerBackend: Asked to remove non-existent executor 2 15/02/28 11:04:02 WARN remote.ReliableDeliverySupervisor: Association with remote system [akka.tcp://sparkExecutor@sandbox.hortonworks.com:34111] has failed, address is now gated for [5000] ms. Reason is: [Disassociated]. 15/02/28 11:04:02 INFO cluster.YarnClientClusterScheduler: Cancelling stage 0 15/02/28 11:04:02 INFO scheduler.DAGScheduler: Job 0 failed: collect at JavaWordCount.java:68, took 20.451136 s Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, sandbox.hortonworks.com): ExecutorLostFailure (executor 2 lost) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420) at akka.actor.Actor$class.aroundReceive(Actor.scala:465) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) [train@sandbox spark-1.2.0.2.2.0.0-82-bin-2.6.0.2.2.0.0-2041]$
可能是执行器崩溃了。Spark网站上的这个页面，http://spark.apache.org/docs/latest/running-on-yarn.html讨论了如何查看各种日志以找到问题。您还可以对所讨论的调用标志和属性进行实验。
例如，如果省略--driver-memory 512m --executor-memory 512m --executor-cores 1标志，会发生什么情况？
最后，HDFS中是否存在输入的路径，您是否具有读取权限？您是否具有/的写入权限，以便可以创建/out1？（但是，这些不应该导致此错误…）