mapreduce作业上的容器启动异常

我已经设置了一个带有一个主节点和3个数据节点的hadoop集群 . 当我尝试在主节点上运行mapreduce作业时，我收到以下错误：

18/05/23 19:22:59 INFO mapreduce.Job: Task Id : attempt_1527096061793_0001_m_000000_0, Status : FAILED
Exception from container-launch.
Container id: container_1527096061793_0001_01_000002
Exit code: 1
Stack trace: ExitCodeException exitCode=1: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:585)
    at org.apache.hadoop.util.Shell.run(Shell.java:482)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)


Container exited with a non-zero exit code 1

我已设法在数据节点日志文件中找到错误，但他们没有说出比控制台中显示的更多的内容 . 我现在已经坚持了一段时间，我不知道如何处理这个问题 . 任何建议或帮助表示赞赏 .

谢谢

核心的site.xml

<configuration>
<!-- core-site.xml -->
<property>
<name>fs.defaultFS</name>
<value>hdfs://NameNode:9000/</value>
</property>
<property>
<name>io.file.buffer.size</name>
<value>131072</value>
</property>
</configuration>

纱的site.xml

<configuration>
<!-- Site specific YARN configuration properties -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>NameNode</value>
</property>
<property>
<name>yarn.resourcemanager.bind-host</name>
<value>0.0.0.0</value>
</property>
<property>
<name>yarn.nodemanager.bind-host</name>
<value>0.0.0.0</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.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/local</value>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>file:/usr/local/hadoop_work/yarn/log</value>
</property>
<property>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>hdfs://NameNode:9000/var/log/hadoop-yarn/apps</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
</configuration>

HDFS-site.xml中

<configuration>
<!-- hdfs-site.xml -->

<property>
<name>dfs.namenode.name.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namenode</value>
</property>
<property>
<name>dfs.datanode.data.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/datanode</value>
</property>
<property>
<name>dfs.namenode.checkpoint.dir</name>
<value>file:/usr/local/hadoop_work/hdfs/namesecondary</value>
</property>
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
<property>
<name>dfs.block.size</name>
<value>134217728</value>
</property>
</configuration>

mapred-site.xml中

<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
<property>
<name>mapreduce.jobhistory.address</name>
<value>0.0.0.0:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>0.0.0.0:19888</value>
</property>
<property>
<name>yarn.app.mapreduce.am.staging-dir</name>
<value>/user/app</value>
</property>
<property>
<name>mapred.child.java.opts</name>
<value>-Djava.security.egd=file:/dev/../dev/urandom</value>
</property>
<property>
<name>mapreduce.map.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.reduce.memory.mb</name>
<value>2000</value>
</property>
<property>
<name>mapreduce.map.java.opts</name>
<value>1600</value>
</property>
<property>
<name>mapreduce.reduce.java.opts</name>
<value>1600</value>
</property>
</configuration>

Hadoop版本是2.7.6