mapreduce执行jar程序，一直处于Running job状态，求助！！

一、分布式集群中配置2个slave主机。nodemanager节点配置内存为2G，CPU核数为1。

二、yarn-site.xml配置如下：
<configuration>
<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>jackielee1.hadoop.com</value>
    </property>
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
<!-- ###########################NodeManager Resouce############################## -->
    <property>
        <name>yarn.nodemanager.resource.memory-mb</name>
        <value>1024</value>
    </property>
        <property>
        <name>yarn.nodemanager.vmem-pmem-ratio</name>
        <value>2.1</value>
    </property>
    <property>
        <name>yarn.nodemanager.resource.cpu-vcores</name>
        <value>1</value>
    </property>
    <property>
        <name>yarn.log-aggregation-enable</name>
        <value>true</value>
    </property>
    <property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>640800</value>
    </property>
        <property>
                <name>yarn.scheduler.minimum-allocation-mb</name>
                <value>1024</value>
        </property>
        <property>
                <name>yarn.scheduler.maximum-allocation-mb</name>
                <value>4096</value>
        </property>
</configuration>


三、mapred-site.xml配置如下：
<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>jackielee3.hadoop.com:10020</value>
    </property>
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>jackielee3.hadoop.com:19888</value>
    </property>
        <property>
        <name>mapreduce.map.memory.mb</name>
        <value>1024</value>
    </property>
        <property>
        <name>mapreduce.reduce.memory.mb</name>
        <value>1024</value>
    </property>
</configuration>



四、检查各个节点相关进程启动正常，执行jar程序时，一直停留在running job阶段，无法继续进行。
16/12/05 14:52:51 INFO client.RMProxy: Connecting to ResourceManager at jackielee1.hadoop.com/192.168.20.5:8032
16/12/05 14:52:52 INFO input.FileInputFormat: Total input paths to process : 2
16/12/05 14:52:52 INFO mapreduce.JobSubmitter: number of splits:2
16/12/05 14:52:52 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1480917988140_0004
16/12/05 14:52:53 INFO impl.YarnClientImpl: Submitted application application_1480917988140_0004
16/12/05 14:52:53 INFO mapreduce.Job: The url to track the job: http://jackielee1.hadoop.com:808 ... 1480917988140_0004/
16/12/05 14:52:53 INFO mapreduce.Job: Running job: job_1480917988140_0004



五、查看日志文件 yarn-jackie-resourcemanager-jackielee1.hadoop.com.log中有如下告警：
2016-12-05 14:56:46,636 WARN org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: Node : jackielee2.hadoop.com:36934 does not have sufficient resource for request : {Priority: 0, Capability: <memory:2048, vCores:1>, # Containers: 1, Location: *, Relax Locality: true} node total capability : <memory:1024, vCores:1>
2016-12-05 14:56:47,182 WARN org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: Node : jackielee3.hadoop.com:49362 does not have sufficient resource for request : {Priority: 0, Capability: <memory:2048, vCores:1>, # Containers: 1, Location: *, Relax Locality: true} node total capability : <memory:1024, vCores:1>
2016-12-05 14:56:47,638 WARN org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: Node : jackielee2.hadoop.com:36934 does not have sufficient resource for request : {Priority: 0, Capability: <memory:2048, vCores:1>, # Containers: 1, Location: *, Relax Locality: true} node total capability : <memory:1024, vCores:1>
2016-12-05 14:56:48,184 WARN org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue: Node : jackielee3.hadoop.com:49362 does not have sufficient resource for request : {Priority: 0, Capability: <memory:2048, vCores:1>, # Containers: 1, Location: *, Relax Locality: true} node total capability : <memory:1024, vCores:1>



根据告警信息应该是节点资源不足导致，内存已从原来的1G提升为2G还是这种情况，请高手协助解决，谢谢！！！

似乎是端口号，而不是内存的问题。yarn的端口，感觉楼主都没有配置
[mw_shl_code=bash,true]<configuration>
        <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.resourcemanager.address</name>
               <value>master:8032</value>
       </property>
       <property>
               <name>yarn.resourcemanager.scheduler.address</name>
               <value>master:8030</value>
       </property>
       <property>
            <name>yarn.resourcemanager.resource-tracker.address</name>
             <value>master:8031</value>
      </property>
      <property>
              <name>yarn.resourcemanager.admin.address</name>
               <value>master:8033</value>
       </property>
       <property>
               <name>yarn.resourcemanager.webapp.address</name>
               <value>master:8088</value>
       </property>
</configuration>
[/mw_shl_code]

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