mapred-site.xml:
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
说明mapreduce是有yarn控制
yarn-site.xml:
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property> <name>yarn.resourcemanager.ha.enabled</name>是否开启高可用 <value>true</value> </property> <property> <name>yarn.resourcemanager.cluster-id</name> <value>cluster1</value> </property> <property> <name>yarn.resourcemanager.ha.rm-ids</name>逻辑名称 <value>rm1,rm2</value> </property> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>slave2</value> </property> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>slave3</value> </property> <property> <name>yarn.resourcemanager.zk-address</name> <value>slave1:2181,slave2:2181,slave3:2181</value> </property>
</configuration>
分发配置文件到slave1、2、3
scp mapred-site.xml yarn-site.xml slave1:/usr/local/src/hadoop-2.6.5/etc/hadoop
slave2 slave3免密钥登陆
cat id_rsa.pub >> authorized_keys
scp id_rsa.pub slave3:/root/.ssh/slave2.pub
2、开始启动集群
启动zookeeper： zkServer.sh start
启动hdfs： start-dfs.sh
启动yarn：start-yarn.sh
slave2 slave3启动Resourcemanager: yarn-daemon.sh start resourcemanager
8088端口可查看mapreduce相关情况：
利用框架jar包封装的单词统计样例测试：
hadoop jar hadoop-mapreduce-examples-2.6.5.jar wordcount /user/root/test.txt /usr（输出目录）
关闭集群：
slave2、3：yarn-daemon.sh stop resourcemanager
master:stop-all.sh
原文：https://www.cnblogs.com/kb666666/p/11842871.html