Mridul, Can you comment a little bit more on this issue? We are running into the same stack trace but not sure whether it is just different Spark versions on each cluster (doesn't seem likely) or a bug in Spark.
Thanks. On Sat, May 17, 2014 at 4:41 AM, Mridul Muralidharan <mri...@gmail.com> wrote: > 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) > > >
