I just tried this in CDH (only a few patches ahead of 0.9.0) and was able to include a dependency with --addJars successfully.
Can you share how you're invoking SparkContext.addJar? Anything interesting in the application master logs? -Sandy On Thu, Mar 27, 2014 at 11:35 AM, Sung Hwan Chung <coded...@cs.stanford.edu>wrote: > 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? >>> >>> >> >
