通过tarball形式安装HBASE Cluster（CDH5.0.2）——配置分布式集群中的YARN ResourceManager 的HA

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<configuration>

<!-- Site specific YARN configuration properties -->

        <property>
                <name>yarn.resourcemanager.ha.enabled</name>
                <value>true</value>
        </property>
        <property>
                <name>yarn.resourcemanager.ha.rm-ids</name>
                <value>rm1,rm2</value>
        </property>
        <property>
                <name>yarn.resourcemanager.hostname.rm1</name>
                <value>rm1</value>
        </property>
        <property>
                <name>yarn.resourcemanager.hostname.rm2</name>
                <value>rm2</value>
        </property>
        <property>
                <name>yarn.resourcemanager.recovery.enabled</name>
                <value>true</value>
        </property>
        <property>
                <name>yarn.resourcemanager.store.class</name>
                <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
        </property>
        <property>
                <name>yarn.resourcemanager.zk-address</name>
                <value>zk1:2181,zk2:2181,zk3:2181</value>
        </property>
        <property>
                <name>yarn.resourcemanager.ha.id</name>
                <value>rm1</value>
                <description>每个rm节点分别配置。例如： rm1上配置为rm1, rm2上配置rm2</description>
        </property>
        <property>
                <name>yarn.resourcemanager.cluster-id</name>
                <value>hbasecluster</value>
        </property>

        <property>
                <name>yarn.resourcemanager.address.rm1</name>
                <value>rm1:8080</value>
        </property>

        <property>
                <name>yarn.resourcemanager.scheduler.address.rm1</name>
                <value>rm1:8081</value>
        </property>
        <property>
                <name>yarn.resourcemanager.resource-tracker.address.rm1</name>
                <value>rm1:8082</value>
        </property>
        <property>
                <name>yarn.resourcemanager.admin.address.rm1</name>
                <value>rm1:23141</value>
        </property>
        <property>
                <name>yarn.resourcemanager.ha.admin.address.rm1</name>
                <value>rm1:23142</value>
        </property>
        <property>
                <name>yarn.resourcemanager.webapp.address.rm1</name>
                <value>rm1:23188</value>
        </property>

        <property>
                <name>yarn.resourcemanager.address.rm2</name>
                <value>rm2:8080</value>
        </property>

        <property>
                <name>yarn.resourcemanager.scheduler.address.rm2</name>
                <value>rm2:8081</value>
        </property>
        <property>
                <name>yarn.resourcemanager.resource-tracker.address.rm2</name>
                <value>rm2:8082</value>
        </property>

        <property>
                <name>yarn.resourcemanager.admin.address.rm2</name>
                <value>rm2:23141</value>
        </property>
        <property>
                <name>yarn.resourcemanager.ha.admin.address.rm2</name>
                <value>rm2:23142</value>
        </property>
        <property>
                <name>yarn.resourcemanager.webapp.address.rm2</name>
                <value>rm2:23188</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>

</configuration>

1， 其中需要注意的是yarn.resourcemanager.ha.id是对于每个rm节点单独配置的

2，配置后，首先使用前台方式启动查看是否配置正确

yarn resourcemanager

3，没问题后使用服务启动命令，注意每个rm节点都需要启动

yarn-daemon.sh start resourcemanager

4，验证：正常情况下，rm1(ip=103)节点是active节点，rm2(ip=104)节点为备份节点

看图，这是正常启动结果：

杀掉rm1上的进程，并重新启动，此时再看：

发现rm2已经成为活动节点。如果杀掉rm2上的进程并重新启动，rm1就会切换回active节点，而rm2切换回standby状态。