dimmacro created MAPREDUCE-5716:
-----------------------------------

             Summary: yarn framework occurs Shell$ExitCodeException
                 Key: MAPREDUCE-5716
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5716
             Project: Hadoop Map/Reduce
          Issue Type: Bug
          Components: applicationmaster
    Affects Versions: 2.2.0
         Environment: hadoop2.2.0,linux redhat 5.5 
            Reporter: dimmacro
            Assignee: dimmacro
            Priority: Critical


I use hadoop2.2.0 to run map-reduce task,at first I set the  property 
"mapreduce.framework.name" with "local" in mapred-site.xml,everything goes fine 
,and there is no exception,but when I run the mapreduce task on server 
cluster,setting the "mapreduce.framework.name" property value with "yarn",it 
shows exception belows:

    2014-01-10 14:51:03,131 INFO ContainersLauncher #0 
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor: 
launchContainer: [/home/hadoop/hadoop-2.2.0/bin/container-executor, hadoop, 1, 
application_1389336249740_0001, container_1389336249740_000
_01_000013, 
/new/hadoop/data/tmp/nm-local-dir/usercache/hadoop/appcache/application_1389336249740_0001/container_1389336249740_0001_01_000013,
 
/new/hadoop/data/tmp/nm-local-dir/nmPrivate/application_1389336249740_0001/container_1389336249740_0001_01_00001
/launch_container.sh, 
/new/hadoop/data/tmp/nm-local-dir/nmPrivate/application_1389336249740_0001/container_1389336249740_0001_01_000013/container_1389336249740_0001_01_000013.tokens,
 /new/hadoop/data/tmp/nm-local-dir/nmPrivate/container_1389336249740_0001
01_000013.pid, /new/hadoop/data/tmp/nm-local-dir, 
/home/hadoop/hadoop-2.2.0/logs/userlogs, cgroups=none]
2014-01-10 14:51:03,134 INFO ContainersLauncher #2 
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor: 
launchContainer: [/home/hadoop/hadoop-2.2.0/bin/container-executor, hadoop, 1, 
application_1389336249740_0001, container_1389336249740_000
_01_000014, 
/new/hadoop/data/tmp/nm-local-dir/usercache/hadoop/appcache/application_1389336249740_0001/container_1389336249740_0001_01_000014,
 
/new/hadoop/data/tmp/nm-local-dir/nmPrivate/application_1389336249740_0001/container_1389336249740_0001_01_00001
/launch_container.sh, 
/new/hadoop/data/tmp/nm-local-dir/nmPrivate/application_1389336249740_0001/container_1389336249740_0001_01_000014/container_1389336249740_0001_01_000014.tokens,
 /new/hadoop/data/tmp/nm-local-dir/nmPrivate/container_1389336249740_0001
01_000014.pid, /new/hadoop/data/tmp/nm-local-dir, 
/home/hadoop/hadoop-2.2.0/logs/userlogs, cgroups=none]
2014-01-10 14:51:03,142 INFO AsyncDispatcher event handler 
org.apache.hadoop.yarn.server.nodemanager.containermanager.container.Container: 
Container container_1389336249740_0001_01_000013 transitioned from LOCALIZED to 
RUNNING
2014-01-10 14:51:03,144 INFO AsyncDispatcher event handler 
org.apache.hadoop.yarn.server.nodemanager.containermanager.container.Container: 
Container container_1389336249740_0001_01_000014 transitioned from LOCALIZED to 
RUNNING
2014-01-10 14:51:03,144 WARN ContainersLauncher #4 
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor: Exception 
from container-launch with container ID: container_1389336249740_0001_01_000016 
and exit code: 127
org.apache.hadoop.util.Shell$ExitCodeException: 
        at org.apache.hadoop.util.Shell.runCommand(Shell.java:464)
        at org.apache.hadoop.util.Shell.run(Shell.java:379)
        at 
org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:589)
        at 
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor.launchContainer(LinuxContainerExecutor.java:252)
        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$Sync.innerRun(FutureTask.java:334)
        at java.util.concurrent.FutureTask.run(FutureTask.java:166)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
        at java.lang.Thread.run(Thread.java:636)
2014-01-10 14:51:03,161 WARN ContainersLauncher #2 
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor: Exit code 
from container container_1389336249740_0001_01_000014 is : 127

my mapred-site.xml content:
<configuration>
<property>
  <name>mapreduce.jobtracker.address</name>
  <value>local</value>
  <description>The host and port that the MapReduce job tracker runs
  at.  If "local", then jobs are run in-process as a single map
  and reduce task.
  </description>
</property>

<property>
  <name>mapreduce.jobtracker.http.address</name>
  <value>121server:50030</value>
  <description>
    The job tracker http server address and port the server will listen on.
    If the port is 0 then the server will start on a free port.
  </description>
</property>

<property>
  <name>mapreduce.job.maps</name>
  <value>40</value>
  <description>The default number of map tasks per job.
  Ignored when mapreduce.jobtracker.address is "local".  
  </description>
</property>
<property>
  <name>mapreduce.framework.name</name>
  <value>classic</value>
</property>
</configuration>

my yarn-site.xml content:

<configuration>
<!-- Site specific YARN configuration properties -->
 <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>152server:8990</value>
    <description>host is the hostname of the resource manager and 
    port is the port on which the NodeManagers contact the Resource Manager.
    </description>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>152server:8991</value>
    <description>host is the hostname of the resourcemanager and port is the 
port
    on which the Applications in the cluster talk to the Resource Manager.
    </description>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.class</name>    
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
    <description>In case you do not want to use the default 
scheduler</description>
  </property>
  <property>
    <name>yarn.resourcemanager.address</name>
    <value>152server:8993</value>
    <description>the host is the hostname of the ResourceManager and the port 
is the port on
    which the clients can talk to the Resource Manager. </description>
  </property>
<property> 
<description>The address of the RM web application.</description> 
<name>yarn.resourcemanager.webapp.address</name> 
<value>152server:18088</value> 
</property> 
<property> 
<name>yarn.nodemanager.aux-services</name> 
<value>mapreduce_shuffle</value> 
</property>
<property>
 <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
 <value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>5120</value>
</property>
</configuration>





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