There is no version of shark that works with spark 1.0. More details about the path forward here: http://databricks.com/blog/2014/07/01/shark-spark-sql-hive-on-spark-and-the-future-of-sql-on-spark.html On Jul 18, 2014 4:53 AM, "Megane1994" <leumenilari...@yahoo.fr> wrote:
> Hello, > > I want to run Shark on yarn. > > My environment > Shark-0.9.1. > Spark-1.0.0 > hadoop-2.3.0 > > My first question is that: Is it possible to run shark-0.9.1 with > Spark-1.0.0 on yarn? or Shark and Spark have to be necessarily in the same > version? > > For the moment, when i make a request like "show tables","show databases" > on Shark, it works well. But, when i make any select query (like "select * > from test"), i get this error: > > org.apache.spark.SparkException: Job aborted: Task 0.0:0 failed 4 times > (most recent failure: Exception failure: java.io.InvalidClassException: > org.apache.spark.scheduler.Task; local class incompatible: stream classdesc > serialVersionUID = -14123687772669932, local class serialVersionUID = > -6531051710822689816) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1028) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1026) > at > > scala.collection.mutable.ResizableArray$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$$abortStage(DAGScheduler.scala:1026) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619) > at scala.Option.foreach(Option.scala:236) > at > > org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:619) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:207) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > at > > akka.dispatch.ForkJoinExecutorConfigurator$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) > FAILED: Execution Error, return code -101 from shark.execution.SparkTask > > > > Any ideas? > i looked for a solution all the week, but without success.Any suggestions > will be appreciate. Thanks > > > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/incompatible-local-class-serialVersionUID-with-spark-Shark-tp10149.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. >
