I suspect this is an issue we have fixed internally here as part of a larger change - the issue we fixed was not a config issue but bugs in spark.
Unfortunately we plan to contribute this as part of 1.1 Regards, Mridul On 17-May-2014 4:09 pm, "sam (JIRA)" <j...@apache.org> wrote: > sam created SPARK-1867: > -------------------------- > > Summary: Spark Documentation Error causes > java.lang.IllegalStateException: unread block data > Key: SPARK-1867 > URL: https://issues.apache.org/jira/browse/SPARK-1867 > Project: Spark > Issue Type: Bug > Reporter: sam > > > I've employed two System Administrators on a contract basis (for quite a > bit of money), and both contractors have independently hit the following > exception. What we are doing is: > > 1. Installing Spark 0.9.1 according to the documentation on the website, > along with CDH4 (and another cluster with CDH5) distros of hadoop/hdfs. > 2. Building a fat jar with a Spark app with sbt then trying to run it on > the cluster > > I've also included code snippets, and sbt deps at the bottom. > > When I've Googled this, there seems to be two somewhat vague responses: > a) Mismatching spark versions on nodes/user code > b) Need to add more jars to the SparkConf > > Now I know that (b) is not the problem having successfully run the same > code on other clusters while only including one jar (it's a fat jar). > > But I have no idea how to check for (a) - it appears Spark doesn't have > any version checks or anything - it would be nice if it checked versions > and threw a "mismatching version exception: you have user code using > version X and node Y has version Z". > > I would be very grateful for advice on this. > > The exception: > > Exception in thread "main" org.apache.spark.SparkException: Job aborted: > Task 0.0:1 failed 32 times (most recent failure: Exception failure: > java.lang.IllegalStateException: unread block data) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018) > at > scala.collection.mutable.ResizableArray$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$$abortStage(DAGScheduler.scala:1018) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:190) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > at > akka.dispatch.ForkJoinExecutorConfigurator$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) > 14/05/16 18:05:31 INFO scheduler.TaskSetManager: Loss was due to > java.lang.IllegalStateException: unread block data [duplicate 59] > > My code snippet: > > val conf = new SparkConf() > .setMaster(clusterMaster) > .setAppName(appName) > .setSparkHome(sparkHome) > .setJars(SparkContext.jarOfClass(this.getClass)) > > println("count = " + new SparkContext(conf).textFile(someHdfsPath).count()) > > My SBT dependencies: > > // relevant > "org.apache.spark" % "spark-core_2.10" % "0.9.1", > "org.apache.hadoop" % "hadoop-client" % "2.3.0-mr1-cdh5.0.0", > > // standard, probably unrelated > "com.github.seratch" %% "awscala" % "[0.2,)", > "org.scalacheck" %% "scalacheck" % "1.10.1" % "test", > "org.specs2" %% "specs2" % "1.14" % "test", > "org.scala-lang" % "scala-reflect" % "2.10.3", > "org.scalaz" %% "scalaz-core" % "7.0.5", > "net.minidev" % "json-smart" % "1.2" > > > > -- > This message was sent by Atlassian JIRA > (v6.2#6252) >
