The stack trace suggests it was trying to create a temporary file, not read your file. Of course, it doesn't say what file it couldn't create.
Could there be a configuration file, like a Hadoop config file, that was read with a temp dir setting that's invalid for your machine? dean Dean Wampler, Ph.D. Author: Programming Scala, 2nd Edition <http://shop.oreilly.com/product/0636920033073.do> (O'Reilly) Typesafe <http://typesafe.com> @deanwampler <http://twitter.com/deanwampler> http://polyglotprogramming.com On Thu, Jul 31, 2014 at 4:04 PM, Ryan Tabora <[email protected]> wrote: > Hey all, > > I was able to spawn up a cluster, but when I'm trying to submit a simple > jar via spark-submit it fails to run. I am trying to run the simple > "Standalone Application" from the quickstart. > > Oddly enough, I could get another application running through the > spark-shell. What am I doing wrong here? :( > > http://spark.apache.org/docs/latest/quick-start.html > > * Here's my setup: * > > $ ls > project simple.sbt src target > > $ ls -R src > src: > main > > src/main: > scala > > src/main/scala: > SimpleApp.scala > > $ cat src/main/scala/SimpleApp.scala > package main.scala > > /* SimpleApp.scala */ > import org.apache.spark.SparkContext > import org.apache.spark.SparkContext._ > import org.apache.spark.SparkConf > > object SimpleApp { > def main(args: Array[String]) { > val logFile = "/tmp/README.md" > val conf = new SparkConf().setAppName("Simple Application") > val sc = new SparkContext(conf) > val logData = sc.textFile(logFile, 2).cache() > val numAs = logData.filter(line => > line.contains("a")).count() > val numBs = logData.filter(line => > line.contains("b")).count() > println("Lines with a: %s, Lines with b: > %s".format(numAs, numBs)) > } > } > > $ cat simple.sbt > name := "Simple Project" > > version := "1.0" > > scalaVersion := "2.10.4" > > libraryDependencies += "org.apache.spark" %% "spark-core" % "1.0.1" > > resolvers += "Akka Repository" at "http://repo.akka.io/releases/"; > > * Here's how I run the job: * > > $ /root/spark/bin/spark-submit --class "main.scala.SimpleApp" --master > local[4] ./target/scala-2.10/simple-project_2.10-1.0.jar > > *Here is the error: * > > 14/07/31 16:23:56 INFO scheduler.DAGScheduler: Failed to run count at > SimpleApp.scala:14 > Exception in thread "main" org.apache.spark.SparkException: Job aborted > due to stage failure: Task 0.0:1 failed 1 times, most recent failure: > Exception failure in TID 1 on host localhost: java.io.IOException: No such > file or directory > java.io.UnixFileSystem.createFileExclusively(Native Method) > java.io.File.createNewFile(File.java:1006) > java.io.File.createTempFile(File.java:1989) > org.apache.spark.util.Utils$.fetchFile(Utils.scala:326) > > 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$TaskRunner.run(Executor.scala:168) > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > 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) > 14/07/31 16:23:56 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, > whose tasks have all completed, from pool > > *Another note: * > > I do not believe the issue is because the input file is missing. It is > most certainly there, and I got a different error when I tried pointing it > to a non-existent file. > > $ /root/ephemeral-hdfs/bin/hadoop fs -lsr / > Warning: $HADOOP_HOME is deprecated. > > drwxr-xr-x - root supergroup 0 2014-07-31 00:10 /tachyon > drwxr-xr-x - root supergroup 0 2014-07-31 00:10 /tachyon/data > drwxr-xr-x - root supergroup 0 2014-07-31 00:10 > /tachyon/workers > drwxr-xr-x - root supergroup 0 2014-07-31 01:01 /tmp > -rw-r--r-- 3 root supergroup 281471 2014-07-31 00:17 > /tmp/CHANGES.txt > -rw-r--r-- 3 root supergroup 4221 2014-07-31 01:01 /tmp/README.md > > Regards, > Ryan Tabora > http://ryantabora.com >
