Yea it's in a standalone mode and I did use SparkContext.addJar method and tried setting setExecutorEnv "SPARK_CLASSPATH", etc. but none of it worked.
I finally made it work by modifying the ClientBase.scala code where I set 'appMasterOnly' to false before the addJars contents were added to distCacheMgr. But this is not what I should be doing, right? Is there a problem with addJar method in 0.9.0? On Wed, Mar 26, 2014 at 1:47 PM, Sandy Ryza <sandy.r...@cloudera.com> wrote: > Hi Sung, > > Are you using yarn-standalone mode? Have you specified the --addJars > option with your external jars? > > -Sandy > > > On Wed, Mar 26, 2014 at 1:17 PM, Sung Hwan Chung <coded...@cs.stanford.edu > > wrote: > >> Hello, (this is Yarn related) >> >> I'm able to load an external jar and use its classes within >> ApplicationMaster. I wish to use this jar within worker nodes, so I added >> sc.addJar(pathToJar) and ran. >> >> I get the following exception: >> >> org.apache.spark.SparkException: Job aborted: Task 0.0:1 failed 4 times >> (most recent failure: Exception failure: java.lang.NoClassDefFoundError: >> org/opencv/objdetect/HOGDescriptor) >> Job aborted: Task 0.0:1 failed 4 times (most recent failure: Exception >> failure: java.lang.NoClassDefFoundError: org/opencv/objdetect/HOGDescriptor) >> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1028) >> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1026) >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1026) >> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619) >> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:619) >> scala.Option.foreach(Option.scala:236) >> org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:619) >> org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:207) >> akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) >> akka.actor.ActorCell.invoke(ActorCell.scala:456) >> akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) >> akka.dispatch.Mailbox.run(Mailbox.scala:219) >> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) >> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) >> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) >> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) >> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >> >> >> >> And in worker node containers' stderr log (nothing in stdout log), I >> don't see any reference to loading jars: >> >> SLF4J: Class path contains multiple SLF4J bindings. >> SLF4J: Found binding in >> [jar:file:/home/gpphddata/1/yarn/nm-local-dir/usercache/yarn/filecache/7394400996676014282/spark-assembly-0.9.0-incubating-hadoop2.0.2-alpha-gphd-2.0.1.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> SLF4J: Found binding in >> [jar:file:/usr/lib/gphd/hadoop-2.0.2_alpha_gphd_2_0_1_0/lib/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >> explanation. >> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >> 14/03/26 13:12:18 INFO slf4j.Slf4jLogger: Slf4jLogger started >> 14/03/26 13:12:18 INFO Remoting: Starting remoting >> 14/03/26 13:12:18 INFO Remoting: Remoting started; listening on addresses >> :[akka.tcp://sparkExecutor@alpinenode6.alpinenow.local:44006] >> 14/03/26 13:12:18 INFO Remoting: Remoting now listens on addresses: >> [akka.tcp://sparkExecutor@alpinenode6.alpinenow.local:44006] >> 14/03/26 13:12:18 INFO executor.CoarseGrainedExecutorBackend: Connecting to >> driver: >> akka.tcp://spark@alpinenode5.alpinenow.local:10314/user/CoarseGrainedScheduler >> 14/03/26 13:12:18 ERROR executor.CoarseGrainedExecutorBackend: Driver >> Disassociated [akka.tcp://sparkExecutor@alpinenode6.alpinenow.local:44006] >> -> [akka.tcp://spark@alpinenode5.alpinenow.local:10314] disassociated! >> Shutting down. >> >> >> >> >> >> >> Any idea what's going on? >> >> >
