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From Adrian Tanase <>
Subject Re: Spark on Yarn
Date Wed, 21 Oct 2015 11:41:53 GMT
The question is the spark dependency is marked as provided or is included in the fat jar.

For example, we are compiling the spark distro separately for java 8 + scala 2.11 + hadoop
2.6 (with maven) and marking it as provided in sbt.


From: Raghuveer Chanda
Date: Wednesday, October 21, 2015 at 2:14 PM
To: Jean-Baptiste Onofré
Cc: "<>"
Subject: Re: Spark on Yarn


So does this mean I can't run spark 1.4 fat jar on yarn without installing spark 1.4.

I am including spark 1.4 in my pom.xml so doesn't this mean its compiling in 1.4.

On Wed, Oct 21, 2015 at 4:38 PM, Jean-Baptiste Onofré <<>>

The compiled version (master side) and client version diverge on spark network JavaUtils.
You should use the same/aligned version.


Sent from my Samsung device

-------- Original message --------
From: Raghuveer Chanda <<>>
Date: 21/10/2015 12:33 (GMT+01:00)
Subject: Spark on Yarn

Hi all,

I am trying to run spark on yarn in quickstart cloudera vm.It already has spark 1.3 and Hadoop
2.6.0-cdh5.4.0 installed.(I am not using spark-submit since I want to run a different version
of spark).

I am able to run spark 1.3 on yarn but get the below error for spark 1.4.

The log shows its running on spark 1.4 but still gives a error on a method which is present
in 1.4 and not 1.3. Even the fat jar contains the class files of 1.4.

As far as running in yarn the installed spark version shouldnt matter, but still its running
on the other version.

Hadoop Version:
Hadoop 2.6.0-cdh5.4.0
Subversion -r c788a14a5de9ecd968d1e2666e8765c5f018c271
Compiled by jenkins on 2015-04-21T19:18Z
Compiled with protoc 2.5.0
From source with checksum cd78f139c66c13ab5cee96e15a629025
This command was run using /usr/lib/hadoop/hadoop-common-2.6.0-cdh5.4.0.jar

Log Upload Time:Tue Oct 20 21:58:56 -0700 2015
Log Contents:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/var/lib/hadoop-yarn/cache/yarn/nm-local-dir/filecache/10/simple-yarn-app-1.1.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
15/10/20 21:58:50 INFO spark.SparkContext: Running Spark version 1.4.0
15/10/20 21:58:53 INFO spark.SecurityManager: Changing view acls to: yarn
15/10/20 21:58:53 INFO spark.SecurityManager: Changing modify acls to: yarn
15/10/20 21:58:53 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui
acls disabled; users with view permissions: Set(yarn); users with modify permissions: Set(yarn)
Exception in thread "main" java.lang.NoSuchMethodError:;)J
at org.apache.spark.util.Utils$.timeStringAsSeconds(Utils.scala:1027)
at org.apache.spark.SparkConf.getTimeAsSeconds(SparkConf.scala:194)
at org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$$doCreateActorSystem(AkkaUtils.scala:68)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:54)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:53)
at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1991)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1982)
at org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:56)
at org.apache.spark.rpc.akka.AkkaRpcEnvFactory.create(AkkaRpcEnv.scala:245)
at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:52)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:247)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:188)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:267)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:424)
at com.hortonworks.simpleyarnapp.HelloWorld.main(
15/10/20 21:58:53 INFO util.Utils: Shutdown hook called

Please help :)

Regards and Thanks,
Raghuveer Chanda

Raghuveer Chanda
Computer Science and Engineering
IIT Kharagpur
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