mapreduce job fail when submitted from windows machine

参照http://stackoverflow.com/questions/24075669/mapreduce-job-fail-when-submitted-from-windows-machine

遇到的问题如下：

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!

可以在java里设置

public Configuration config() {

Configuration conf = new YarnConfiguration();

conf.set("fs.defaultFS", HDFS);

conf.set("mapreduce.framework.name", "yarn");

conf.set("yarn.resourcemanager.address", “c0004650.itcs.hp.com:8032”);

conf.set("yarn.resourcemanager.scheduler.address", “c0004650.itcs.hp.com:8030”);

conf.set("mapreduce.app-submission.cross-platform", "true");

// put all of the third party jars like this, but these jars should be

// put on hadoop clusters.

// conf.set("mapreduce.application.classpath",

// "$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*,$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*,/opt/mount/learn/mahout-1.0-lib/*");

return conf;

}

也可以

(mapred-core.xml)

<property>
<description>If enabled, user can submit an application cross-platform
i.e. submit an application from a Windows client to a Linux/Unix server or
vice versa.
</description>
<name>mapreduce.app-submission.cross-platform</name>
<value>false</value>
</property>

By setting the value to

true

the
error was gone