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From Sung Hwan Chung <coded...@cs.stanford.edu>
Subject Re: YARN problem using an external jar in worker nodes Inbox x
Date Thu, 27 Mar 2014 18:35:51 GMT
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.ryza@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 <codedeft@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?
>>
>>
>

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