YARN上运行MapReduce 程序配置yarn-env.sh配置yarn-site.xml配置：mapred-env

配置yarn-env.sh

export JAVA_HOME=/opt/module/jdk1.7.0_79

配置yarn-site.xml

<!-- reducer获取数据的方式 -->
<property>
 <name>yarn.nodemanager.aux-services</name>
 <value>mapreduce_shuffle</value>
</property>

<!-- 指定YARN的ResourceManager的地址 -->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop100</value>
</property>

配置：mapred-env.sh

export JAVA_HOME=/opt/module/jdk1.7.0_79

配置： (对mapred-site.xml.template重新命名为) mapred-site.xml

<!-- 指定mr运行在yarn上 -->
	<property>
		<name>mapreduce.framework.name</name>
		<value>yarn</value>
	</property>

启动resourcemanager

sbin/yarn-daemon.sh start resourcemanager

启动nodemanager
```
sbin/yarn-daemon.sh start nodemanager
```
yarn的浏览器页面查看
```
http://10.1.100.100:8088/cluster
```

删除文件系统上的output文件

bin/hdfs dfs -rm -R /user/wangxiaofan/mapreduce/wordcount/output

执行mapreduce程序

bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount /user/wangxiaofan/mapreduce/wordcount/input  /user/wangxiaofan/mapreduce/wordcount/output

查看运行结果

bin/hdfs dfs -cat /user/wangxiaofan/mapreduce/wordcount/output/*