1、修改配置檔案;

具體的修改內容為：

mapred-site.xml:

<configuration>
 <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
  </property>

</configuration>

修改：yarn-site.xml

<configuration>

<!-- Site specific YARN configuration properties -->
 <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
<property>
   <name>yarn.resourcemanager.ha.enabled</name>
   <value>true</value>
 </property>
 <property>
   <name>yarn.resourcemanager.cluster-id</name>
   <value>cluster1</value>
 </property>
 <property>
   <name>yarn.resourcemanager.ha.rm-ids</name>
   <value>rm1,rm2</value>
 </property>
 <property>
   <name>yarn.resourcemanager.hostname.rm1</name>
   <value>node13</value>
 </property>
 <property>
   <name>yarn.resourcemanager.hostname.rm2</name>
   <value>node14</value>
 </property>
 <property>
   <name>yarn.resourcemanager.zk-address</name>
   <value>node12:2181,node13:2181,node14:2181</value>
 </property>

</configuration>
 

分別將這兩個配置檔案進行分發：

[[email protected] hadoop]# scp mapred-site.xml yarn-site.xml node14:`pwd`

完成之後不需要進行格式化，直接啟動就成。

[[email protected] ~]# start-yarn.sh

然後jps檢視程序，發現沒有啟動，需要進行單獨啟動：

[[email protected] ~]# yarn-daemon.sh start resourcemanager

[[email protected] ~]# yarn-daemon.sh start resourcemanager

jps查詢14上邊的程序，按照程序號進行殺死：kill -9 程序號

檢查，

重新啟動：yarn-daemon.sh start resourcemanager

 hdfs dfs -get /data/wc/output/* ./

hdfs dfs -ls /data/wc/output

hdfs dfs -put ./test.txt /user/root