I am trying to submit a M/R job from windows machine to hadoop cluster on linux. I am using hadoop 2.2.0 (HDP 2.0).
I am getting following error:
2014-06-06 08:32:37,684 [main] INFO Job.monitorAndPrintJob - Job job_1399458460502_0053 running in uber mode : false
2014-06-06 08:32:37,704 [main] INFO Job.monitorAndPrintJob - map 0% reduce 0%
2014-06-06 08:32:37,717 [main] INFO Job.monitorAndPrintJob - Job job_1399458460502_0053 failed with state FAILED due to: Application application_1399458460502_0053 failed 2 times due to AM Container for appattempt_1399458460502_0053_000002 exited with exitCode: 1 due to: Exception from container-launch:
org.apache.hadoop.util.Shell$ExitCodeException: /bin/bash: line 0: fg: no job control
at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)
at org.apache.hadoop.util.Shell.run(Shell.java:379)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:283)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:79)
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:744)
.Failing this attempt.. Failing the application.
java.io.IOException: Job failed!
I using configuration taken from the cluster so there should be exact match.
Any hints or clue, what might be wrong?
Thx
conf.set("mapreduce.app-submission.cross-platform", "true");
I found solution. It is officially reported bug
https://issues.apache.org/jira/browse/MAPREDUCE-4052
with workaround mentioned down in discussion. Workaround works fine for me. Seems that those bugs with something resolved on a client side are ever green.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With