Submit Spark job on Yarn cluster

Question

I am struggling for more than 2 days now with the following problem.

I wrote a basic "HelloWorld" script in Scala:

object Hello extends App{
  println("WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1")
  val data = 1 to 15

  for( a <- data ){
    println( "Value of a: " + a )
    Thread sleep 1000
  }

That I then compiled with SBT in order to get a JAR compiled version.

I transferred then everything on a cluster (which is Horthonworks sandbox running on a virtual Linux machine) with HDP 2.2.4.2.

I am actually able to run the job with the following command on the cluster using a yarn-client:

spark-submit --verbose --master yarn-client --class Hello SCALA/hello.jar

However, while trying to submit the same helloWorld job on a yarn-cluster with the following command

spark-submit --verbose --master yarn-cluster--class Hello SCALA/hello.jar

The job first run properly (the outputs are the one expected, and it exits 0) but then the job stop with the following:

15/06/05 15:52:09 INFO Client: Application report for application_1433491352951_0010 (state: FAILED)

15/06/05 15:52:09 INFO Client:
         client token: N/A
         diagnostics: Application application_1433491352951_0010 failed 2 times due to AM Container for appattempt_1433491352951_0010_000002 exited with  exitCode: 0
For more detailed output, check application tracking page:http://sandbox.hortonworks.com:8088/proxy/application_1433491352951_0010/Then, click on links to logs of each attempt.
Diagnostics: Failing this attempt. Failing the application.
         ApplicationMaster host: N/A
         ApplicationMaster RPC port: -1
         queue: default
         start time: 1433519471297
         final status: FAILED
         tracking URL: http://sandbox.hortonworks.com:8088/cluster/app/application_1433491352951_0010
         user: root
Error: application failed with exception
org.apache.spark.SparkException: Application finished with failed status
        at org.apache.spark.deploy.yarn.ClientBase$class.run(ClientBase.scala:522)
        at org.apache.spark.deploy.yarn.Client.run(Client.scala:35)
        at org.apache.spark.deploy.yarn.Client$.main(Client.scala:139)
        at org.apache.spark.deploy.yarn.Client.main(Client.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:367)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:77)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

I decided then to check the log with the following command-line:

yarn logs -applicationId application_1433491352951_00010

And I get:

15/06/05 15:56:33 INFO impl.TimelineClientImpl: Timeline service address: http://sandbox.hortonworks.com:8188/ws/v1/timeline/
15/06/05 15:56:33 INFO client.RMProxy: Connecting to ResourceManager at sandbox.hortonworks.com/192.168.182.129:8050
15/06/05 15:56:35 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
15/06/05 15:56:35 INFO compress.CodecPool: Got brand-new decompressor [.deflate]


Container: container_e08_1433491352951_0010_01_000001 on sandbox.hortonworks.com_45454
========================================================================================
LogType:stderr
Log Upload Time:Fri Jun 05 15:52:10 +0000 2015
LogLength:2050
Log Contents:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/28/spark-assembly-1.2.1.2.2.4.2-2-hadoop2.6.0.2.2.4.2-2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.2.4.2-2/hadoop/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/29/hello.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]
15/06/05 15:51:18 INFO yarn.ApplicationMaster: Registered signal handlers for [TERM, HUP, INT]
15/06/05 15:51:20 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1433491352951_0010_000001
15/06/05 15:51:21 INFO spark.SecurityManager: Changing view acls to: yarn,root
15/06/05 15:51:21 INFO spark.SecurityManager: Changing modify acls to: yarn,root
15/06/05 15:51:21 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, root); users with modify permissions: Set(yarn, root)
15/06/05 15:51:21 INFO yarn.ApplicationMaster: Starting the user JAR in a separate Thread
15/06/05 15:51:21 INFO yarn.ApplicationMaster: Waiting for spark context initialization
15/06/05 15:51:21 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 0
15/06/05 15:51:31 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 1
15/06/05 15:51:36 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0
15/06/05 15:51:41 ERROR yarn.ApplicationMaster: SparkContext did not initialize after waiting for 100000 ms. Please check earlier log output for errors. Failing the application.
15/06/05 15:51:41 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED
15/06/05 15:51:41 INFO yarn.ApplicationMaster: Deleting staging directory .sparkStaging/application_1433491352951_0010

LogType:stdout
Log Upload Time:Fri Jun 05 15:52:10 +0000 2015
LogLength:300
Log Contents:
WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1
Value of a: 1
Value of a: 2
Value of a: 3
Value of a: 4
Value of a: 5
Value of a: 6
Value of a: 7
Value of a: 8
Value of a: 9
Value of a: 10
Value of a: 11
Value of a: 12
Value of a: 13
Value of a: 14
Value of a: 15



Container: container_e08_1433491352951_0010_02_000001 on sandbox.hortonworks.com_45454
========================================================================================
LogType:stderr
Log Upload Time:Fri Jun 05 15:52:10 +0000 2015
LogLength:2050
Log Contents:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/28/spark-assembly-1.2.1.2.2.4.2-2-hadoop2.6.0.2.2.4.2-2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.2.4.2-2/hadoop/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/29/hello.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]
15/06/05 15:51:45 INFO yarn.ApplicationMaster: Registered signal handlers for [TERM, HUP, INT]
15/06/05 15:51:47 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1433491352951_0010_000002
15/06/05 15:51:48 INFO spark.SecurityManager: Changing view acls to: yarn,root
15/06/05 15:51:48 INFO spark.SecurityManager: Changing modify acls to: yarn,root
15/06/05 15:51:48 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, root); users with modify permissions: Set(yarn, root)
15/06/05 15:51:48 INFO yarn.ApplicationMaster: Starting the user JAR in a separate Thread
15/06/05 15:51:48 INFO yarn.ApplicationMaster: Waiting for spark context initialization
15/06/05 15:51:48 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 0
15/06/05 15:51:58 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 1
15/06/05 15:52:03 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0
15/06/05 15:52:08 ERROR yarn.ApplicationMaster: SparkContext did not initialize after waiting for 100000 ms. Please check earlier log output for errors. Failing the application.
15/06/05 15:52:08 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED
15/06/05 15:52:08 INFO yarn.ApplicationMaster: Deleting staging directory .sparkStaging/application_1433491352951_0010

LogType:stdout
Log Upload Time:Fri Jun 05 15:52:10 +0000 2015
LogLength:300
Log Contents:
WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1
Value of a: 1
Value of a: 2
Value of a: 3
Value of a: 4
Value of a: 5
Value of a: 6
Value of a: 7
Value of a: 8
Value of a: 9
Value of a: 10
Value of a: 11
Value of a: 12
Value of a: 13
Value of a: 14
Value of a: 15

I took the HelloWorld project that someone suggested, recompiled, and tried again. Now I got another problem: when I submit the task with the following command:

spark-submit --verbose --master yarn-cluster SCALA/hello.jar

I get the following comments running to infinity:

15/06/08 16:42:35 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)

I don't really understand since it looks like the server is not responding while the program is supposed to run on the Hadoop cluster from the sandbox.

Answer 1

In my case I used:

val config = new SparkConf()
config.setMaster("local[*]") 

and submitted the job using:

spark-submit --master yarn-cluster ..

Once I removed config.setMaster from my code the issue was resolved.

Answer 2

You will have to set the master of the application to "yarn-cluster" like so:

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

class Hello extends App {
    val config = new SparkConf().setAppName("HelloWorld")
    config.setMaster("yarn-cluster");
    val context = new SparkContext(config);

    println("Application executed!")
}

Answer 3

i can't see any spark context initialization in your code. So, by submitting your jar as spark-submit , you are just setting up classpath. you code is not making any use of spark. However, if you wanna create a context and run it in cluster mode, then don't set any master in your code. it will work. for ex: val config = new SparkConf().setAppName("HelloWorld") val context = new SparkContext(config); Then submit it using spark-submit --verbose --master yarn-cluster--class Hello SCALA/hello.jar