Hi Sean RE: Windows and hadoop 2.4.x HortonWorks - all the hype aside - only supports Windows Server 2008/2012. So this general concept of "supporting Windows" is bunk.
Given that - and since the vast majority of Windows users do not happen to have Windows Server on their laptop - do you have any further insight into what it means to say that hadoop 2.4.x "supports Windows" ? Are you referring to cygwin support? 2014-07-17 11:13 GMT-07:00 Sean Owen <so...@cloudera.com>: > I imagine the issue is ultimately combination of Windows and (stock?) > Apache Hadoop. I know that in the past, operations like 'chmod' didn't > work on Windows since it assumed the existence of POSIX binaries. That > should be long since patched up for 2.4.x but there may be a gotcha > here that others can comment on. > > Do I understand that you're trying to run entirely locally, without > Hadoop at all? > Then I think this sounds like > https://issues.apache.org/jira/browse/SPARK-2356 which does deserve > attention. The Hadoop APIs get tickled even when they're not used, and > this can cause some initialization gotchas on Windows in particular. > > On Thu, Jul 17, 2014 at 6:16 PM, ShanxT <mail4.shash...@gmail.com> wrote: > > Hi, > > > > I am receiving below error while submitting any spark example or scala > > application. Really appreciate any help. > > > > spark version = 1.0.0 > > hadoop version = 2.4.0 > > Windows/Standalone mode > > > > 14/07/17 22:13:19 INFO TaskSchedulerImpl: Cancelling stage 0 > > Exception in thread "main" org.apache.spark.SparkException: Job aborted > due > > to stage failure: Task 0.0:0 failed 4 times, most recent failure: > Exception > > failure in TID 6 o > > n host java.lang.NullPointerException > > java.lang.ProcessBuilder.start(ProcessBuilder.java:1012) > > org.apache.hadoop.util.Shell.runCommand(Shell.java:445) > > org.apache.hadoop.util.Shell.run(Shell.java:418) > > > > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) > > org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:873) > > org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:853) > > org.apache.spark.util.Utils$.fetchFile(Utils.scala:421) > > > > > org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:332) > > > > > org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$6.apply(Executor.scala:330) > > > > > scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) > > > > > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) > > > > > scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) > > > > > scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) > > scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) > > scala.collection.mutable.HashMap.foreach(HashMap.scala:98) > > > > > scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) > > > > org.apache.spark.executor.Executor.org > $apache$spark$executor$Executor$$updateDependencies(Executor.scala:330) > > > > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:168) > > > > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > > > > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > > java.lang.Thread.run(Thread.java:745) > > Driver stacktrace: > > at > > org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033) > > at > > > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017) > > at > > > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015) > > at > > > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > > at > > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > > at > > > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015) > > at > > > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633) > > at > > > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633) > > at scala.Option.foreach(Option.scala:236) > > at > > > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633) > > at > > > org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207) > > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > > at > > > akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) > > at > > scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > > at > > > scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > > at > > scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > > at > > > scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > > Exception in thread "delete Spark temp dir > > > C:\Users\~1\AppData\Local\Temp\spark-88e26679-5a8f-4a37-bf02-41f4b2b46d8f" > > java.io.IOException: Failed to delete: C:\User > > > s\~1\AppData\Local\Temp\spark-88e26679-5a8f-4a37-bf02-41f4b2b46d8f\jars\spark-examples-1.0.0-hadoop2.4.0.jar > > at > org.apache.spark.util.Utils$.deleteRecursively(Utils.scala:599) > > at > > > org.apache.spark.util.Utils$$anonfun$deleteRecursively$1.apply(Utils.scala:593) > > at > > > org.apache.spark.util.Utils$$anonfun$deleteRecursively$1.apply(Utils.scala:592) > > at > > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > > at > > scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34) > > at > org.apache.spark.util.Utils$.deleteRecursively(Utils.scala:592) > > at > > > org.apache.spark.util.Utils$$anonfun$deleteRecursively$1.apply(Utils.scala:593) > > at > > > org.apache.spark.util.Utils$$anonfun$deleteRecursively$1.apply(Utils.scala:592) > > at > > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > > at > > scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34) > > at > org.apache.spark.util.Utils$.deleteRecursively(Utils.scala:592) > > at org.apache.spark.util.Utils$$anon$4.run(Utils.scala:275) > > 14/07/17 22:13:20 INFO TaskSchedulerImpl: Stage 0 was cancelled > > > > > > > > > > -- > > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Error-while-running-example-scala-application-using-spark-submit-tp10056.html > > Sent from the Apache Spark User List mailing list archive at Nabble.com. >
