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.
