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From Sandy Ryza <sandy.r...@cloudera.com>
Subject Re: YARN problem using an external jar in worker nodes Inbox x
Date Thu, 27 Mar 2014 21:57:48 GMT
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
<codedeft@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.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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