HDFS 高可用集群安装完成之后，紧接着快速搞定YARN的集群搭建。

1.修改YARN配置文件

1.1修改yarn-site.xml

<configuration>
<property>
	<name>yarn.resourcemanager.connect.retry-interval.ms</name>
	<value>2000</value>
</property>
<property>
	<name>yarn.resourcemanager.ha.enabled</name>
	<value>true</value>
</property>
<!--打开高可用-->
<property>
	<name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
	<value>true</value>
</property>
<!--启动故障自动恢复-->
<property>
	<name>yarn.resourcemanager.ha.automatic-failover.embedded</name>
	<value>true</value>
</property>
<!--rm启动内置选举active-->
<property>
	<name>yarn.resourcemanager.cluster-id</name>
	<value>yarn-rm-cluster</value>
</property>
<!--给yarn cluster 取个名字yarn-rm-cluster-->
<property>
	<name>yarn.resourcemanager.ha.rm-ids</name>
	<value>rm1,rm2</value>
</property>
<!--ResourceManager高可用 rm1,rm2-->
<property>
	<name>yarn.resourcemanager.hostname.rm1</name>
	<value>hadoop01</value>
</property>
<property>
	<name>yarn.resourcemanager.hostname.rm2</name>
	<value>hadoop02</value>
</property>
<property>
	<name>yarn.resourcemanager.recovery.enabled</name>
	<value>true</value>
</property>
<!--启用resourcemanager 自动恢复-->
<property>
	<name>yarn.resourcemanager.zk.state-store.address</name>
	<value>hadoop01:2181,hadoop02:2181,hadoop03:2181</value>
</property>
<!--状态存储地址-->
<property>
	<name>yarn.resourcemanager.zk-address</name>
	<value>hadoop01:2181,hadoop02:2181,hadoop03:2181</value>
</property>
<!--配置Zookeeper地址-->
<property>
	<name>yarn.resourcemanager.address.rm1</name>
	<value>hadoop01:8032</value>
</property>
<!--rm1端口号-->
<property>
	<name>yarn.resourcemanager.scheduler.address.rm1</name>
	<value>hadoop01:8034</value>
</property>
<!-- rm1调度器的端口号-->
<property>
	<name>yarn.resourcemanager.webapp.address.rm1</name>
	<value>hadoop01:8088</value>
</property>
<!-- rm1 webapp端口号-->
<property>
	<name>yarn.resourcemanager.address.rm2</name>
	<value>hadoop02:8032</value>
</property>
<property>
	<name>yarn.resourcemanager.scheduler.address.rm2</name>
	<value>hadoop02:8034</value>
</property>
<property>
	<name>yarn.resourcemanager.webapp.address.rm2</name>
	<value>hadoop02:8088</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>
<!--执行MapReduce需要配置的shuffle过程-->
</configuration>

1.2修改mapred-site.xml

<configuration>
<property>
	<name>mapreduce.framework.name</name>
	<value>yarn</value>
</property>
<!--MapReduce以yarn模式运行-->
</configuration>

2.修改过的配置文件同步到其他节点

通过如下命令，将yarn相关配置同步到slave节点。

deploy.sh mapred-site.xml /home/hadoop/app/hadoop-2.6.0-hadoop5.10.0/etc/hadoop slave
deploy.sh yarn-site.xml /home/hadoop/app/hadoop-2.6.0-hadoop5.10.0/etc/hadoop slave

3.一键启动YARN集群

主节点hadoop01通过如下命令一键启动YARN 集群。

sbin/start-yarn.sh

4.启动备用节点RM

在备用节点hadoop02单独启动ResourceManager进程。

sbin/yarn-daemon.sh start resourcemanager

5.查看RM状态

通过如下命令分别查看rm1 rm2的状态。

bin/yarn rmadmin -getServiceState rm1
bin/yarn rmadmin -getServiceState rm2

6.web界面查看yarn

通过如下地址访问web界面，了解YARN相关作业运行信息。

http://hadoop01:8088

或者

http://hadoop02:8088

7.测试运行YARN

在YARN上面运行Hadoop自带Wordcount程序

bin/hadoop jar share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.6.0-cdh5.10.0.jar wordcount /test/wd.txt /test/output

通过命令行查看执行结果

bin/hdfs dfs -cat /test/output/*

如果Wordcount程序能在YARN上成功运行，说明整个Hadoop集群安装成功。