I want to run my spark Job in Hadoop YARN cluster mode, and I am using the following command:
spark-submit --master yarn-cluster
--driver-memory 1g
--executor-memory 1g
--executor-cores 1
--class com.dc.analysis.jobs.AggregationJob
sparkanalitic.jar param1 param2 param3
I am getting error below, kindly suggest whats going wrong, is the command correct or not. I am using CDH 5.3.1.
Diagnostics: Application application_1424284032717_0066 failed 2 times due
to AM Container for appattempt_1424284032717_0066_000002 exited with
exitCode: 15 due to: Exception from container-launch.
Container id: container_1424284032717_0066_02_000001
Exit code: 15
Stack trace: ExitCodeException exitCode=15:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
at org.apache.hadoop.util.Shell.run(Shell.java:455)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:197)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:299)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 15
.Failing this attempt.. Failing the application.
ApplicationMaster host: N/A
ApplicationMaster RPC port: -1
queue: root.hdfs
start time: 1424699723648
final status: FAILED
tracking URL: http://myhostname:8088/cluster/app/application_1424284032717_0066
user: hdfs
2015-02-23 19:26:04 DEBUG Client - stopping client from cache: org.apache.hadoop.ipc.Client@4085f1ac
2015-02-23 19:26:04 DEBUG Utils - Shutdown hook called
2015-02-23 19:26:05 DEBUG Utils - Shutdown hook called
Any help would be greatly appreciated.