sudo vi /etc/hosts

192.168.56.101 zhenlong-master
192.168.56.102 zhenlong-slave1

ssh-keygen -t rsa

cp ~/.ssh/id_rsa.pub ~/.ssh/authorized_keys
chmod 644 ~/.ssh/authorized_keys

export HADOOP_HOME=/home/hadoop/hadoop-2.2.0
export JAVA_HOME=/home/hadoop/jdk1.6.0_45

<configuration>
  <property>
      <name>fs.default.name</name>
      <value>hdfs://zhenlong-master:9000</value>
  </property>
  <property>
      <name>hadoop.tmp.dir</name>
      <value>/home/hadoop/hadoop_tmp/hadoop2</value>
  </property>
</configuration>

<configuration>
  <property>
      <name>dfs.namenode.name.dir</name>
      <value>/home/hadoop/hadoop_dfs/hadoop2/name</value>
      <description>Path on the local filesystem where the NameNode stores the namespace and transactions logs persistently.</description>
  </property>
  <property>
      <name>dfs.datanode.data.dir</name>
      <value>/home/hadoop/hadoop_dfs/hadoop2/data</value>
      <description>Comma separated list of paths on the local filesystem of a DataNode where it should store its blocks.</description>
  </property>
  <property>
      <name>dfs.permissions</name>
      <value>false</value>
  </property>
</configuration>

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

<configuration>
  <property>
      <name>yarn.resourcemanager.resource-tracker.address</name>
      <value>zhenlong-master:8031</value>
      <description>host is the hostname of the resource manager and    port is the port on which the NodeManagers contact the Resource Manager.          </description>
  </property>
  <property>
      <name>yarn.resourcemanager.scheduler.address</name>
      <value>zhenlong-master:8030</value>
      <description>host is the hostname of the resourcemanager and port is the port    on which the Applications in the cluster talk to the Resource Manager.          </description>
  </property>
  <property>
      <name>yarn.resourcemanager.scheduler.class</name>
      <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
      <description>In case you do not want to use the default scheduler</description>
  </property>
  <property>
      <name>yarn.resourcemanager.address</name>
      <value>zhenlong-master:8032</value>
      <description>the host is the hostname of the ResourceManager and the port is the port on    which the clients can talk to the Resource Manager. </description>
  </property>
  <property>
      <name>yarn.nodemanager.local-dirs</name>
      <value>${hadoop.tmp.dir}/nodemanager/local</value>
      <description>the local directories used by the nodemanager</description>
  </property>
  <property>
      <name>yarn.nodemanager.address</name>
      <value>0.0.0.0:8034</value>
      <description>the nodemanagers bind to this port</description>
  </property>
  <property>
      <name>yarn.nodemanager.remote-app-log-dir</name>
      <value>${hadoop.tmp.dir}/nodemanager/remote</value>
      <description>directory on hdfs where the application logs are moved to </description>
  </property>
  <property>
      <name>yarn.nodemanager.log-dirs</name>
      <value>${hadoop.tmp.dir}/nodemanager/logs</value>
      <description>the directories used by Nodemanagers as log directories</description>
  </property>
  <!-- Use mapreduce_shuffle instead of mapreduce.suffle (YARN-1229)-->
  <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>

zhenlong-slave1

export JAVA_HOME=/home/hadoop/jdk1.6.0_45

hadoop namenode -format

~/hadoop-2.2.0/sbin/start-all.sh

~/hadoop-2.2.0/bin/hadoop jar ~/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar wordcount file wordcount_out