Hadoop2 namenode 联邦 实验

实验的Hadoop版本为2.5.2，硬件环境是5台虚拟机，使用的均是CentOS6.6操作系统，虚拟机IP和hostname分别为： 
192.168.63.171    node1.zhch
192.168.63.172    node2.zhch
192.168.63.173    node3.zhch
192.168.63.174    node4.zhch
192.168.63.175    node5.zhch

ssh免密码、防火墙、JDK这里就不在赘述了。虚拟机的角色分配是 node1、2是namendoe节点，node3、4、5为datanode节点。 

步骤和 搭建普通hadoop集群 基本相同 ，主要的不同在于 hdfs-site.xml这个配置文件，其余配置和hadoop的安装配置基本一致。

一、配置Hadoop

## 解压
[yyl@node1 program]$ tar -zxf hadoop-2.5.2.tar.gz 
## 创建文件夹
[yyl@node1 program]$ mkdir hadoop-2.5.2/name
[yyl@node1 program]$ mkdir hadoop-2.5.2/data
[yyl@node1 program]$ mkdir hadoop-2.5.2/tmp
## 配置hadoop-env.sh
[yyl@node1 program]$ cd hadoop-2.5.2/etc/hadoop/
[yyl@node1 hadoop]$ vim hadoop-env.sh
export JAVA_HOME=/usr/lib/java/jdk1.7.0_80
## 配置yarn-env.sh
[yyl@node1 hadoop]$ vim yarn-env.sh
export JAVA_HOME=/usr/lib/java/jdk1.7.0_80
## 配置slaves
[yyl@node1 hadoop]$ vim slaves 
node3.zhch
node4.zhch
node5.zhch
## 配置core-site.xml
[yyl@node1 program]$ cd hadoop-2.5.2/etc/hadoop/
[yyl@node1 hadoop]$ vim core-site.xml
<configuration>
<property>
  <name>fs.defaultFS</name>
  <value>hdfs://node1.zhch:9000</value>
</property>
<property>
  <name>io.file.buffer.size</name>
  <value>131072</value>
</property>
<property>
  <name>hadoop.tmp.dir</name>
  <value>file:/home/yyl/program/hadoop-2.5.2/tmp</value>
</property>
<property>
  <name>hadoop.proxyuser.hduser.hosts</name>
  <value>*</value>
</property>
<property>
  <name>hadoop.proxyuser.hduser.groups</name>
  <value>*</value>
</property>
</configuration>
## 配置hdfs-site.xml
[yyl@node1 hadoop]$ vim hdfs-site.xml
<configuration>
<property>
  <name>dfs.namenode.name.dir</name>
  <value>file:/home/yyl/program/hadoop-2.5.2/name</value>
</property>
<property>
  <name>dfs.datanode.data.dir</name>
  <value>file:/home/yyl/program/hadoop-2.5.2/data</value>
</property>
<property>
  <name>dfs.replication</name>
  <value>1</value>
</property>
<property>
  <name>dfs.webhdfs.enabled</name>
  <value>true</value>
</property>
<property>
  <name>dfs.permissions</name>
  <value>false</value>
</property>
<property>
  <name>dfs.nameservices</name>
  <value>ns1,ns2</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.ns1</name>
  <value>node1.zhch:9000</value>
</property>
<property>
  <name>dfs.namenode.http-address.ns1</name>
  <value>node1.zhch:50070</value>
</property>
<property>
  <name>dfs.namenode.rpc-address.ns2</name>
  <value>node2.zhch:9000</value>
</property>
<property>
  <name>dfs.namenode.http-address.ns2</name>
  <value>node2.zhch:50070</value>
</property>
</configuration>
##配置 mapred-site.xml
[yyl@node1 hadoop]$ cp mapred-site.xml.template mapred-site.xml
[yyl@node1 hadoop]$ vim mapred-site.xml
<configuration>
<property>
  <name>mapreduce.framework.name</name>
  <value>yarn</value>
</property>
<property>
  <name>mapreduce.jobhistory.address</name>
  <value>node1.zhch:10020</value>
</property>
<property>
  <name>mapreduce.jobhistory.webapp.address</name>
  <value>node1.zhch:19888</value>
</property>
</configuration>
##配置 yarn-site.xml
[yyl@node1 hadoop]$ vim yarn-site.xml
<configuration>
<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>
<property>
  <name>yarn.resourcemanager.address</name>
  <value>node1.zhch:8032</value>
</property>
<property>
  <name>yarn.resourcemanager.scheduler.address</name>
  <value>node1.zhch:8030</value>
</property>
<property>
  <name>yarn.resourcemanager.resource-tracker.address</name>
  <value>node1.zhch:8031</value>
</property>
<property>
  <name>yarn.resourcemanager.admin.address</name>
  <value>node1.zhch:8033</value>
</property>
<property>
  <name>yarn.resourcemanager.webapp.address</name>
  <value>node1.zhch:8088</value>
</property>
</configuration>
## 分发到各个节点
[yyl@node1 hadoop]$ cd /home/yyl/program/
[yyl@node1 program]$ scp -rp hadoop-2.5.2 [email protected]:/home/yyl/program/
[yyl@node1 program]$ scp -rp hadoop-2.5.2 [email protected]:/home/yyl/program/
[yyl@node1 program]$ scp -rp hadoop-2.5.2 [email protected]:/home/yyl/program/
[yyl@node1 program]$ scp -rp hadoop-2.5.2 [email protected]:/home/yyl/program/
## 在各个节点上设置hadoop环境变量
[yyl@node1 ~]$ vim .bash_profile 
export HADOOP_PREFIX=/home/yyl/program/hadoop-2.5.2
export HADOOP_COMMON_HOME=$HADOOP_PREFIX
export HADOOP_HDFS_HOME=$HADOOP_PREFIX
export HADOOP_MAPRED_HOME=$HADOOP_PREFIX
export HADOOP_YARN_HOME=$HADOOP_PREFIX
export HADOOP_CONF_DIR=$HADOOP_PREFIX/etc/hadoop
export PATH=$PATH:$HADOOP_PREFIX/bin:$HADOOP_PREFIX/sbin

二、NameNode 

## 在namenode1上执行格式化
[yyl@node1 ~]$ hdfs namenode -format -clusterId c1
## 在namenode2上执行格式化
[yyl@node2 ~]$ hdfs namenode -format -clusterId c1
## 在namenode1启动namenode
[yyl@node1 ~]$ hadoop-daemon.sh start namenode
starting namenode, logging to /home/yyl/program/hadoop-2.5.2/logs/hadoop-yyl-namenode-node1.zhch.out
[yyl@node1 ~]$ jps
1177 NameNode
1240 Jps
## 在namenode2启动namenode
[yyl@node2 ~]$ hadoop-daemon.sh start namenode
starting namenode, logging to /home/yyl/program/hadoop-2.5.2/logs/hadoop-yyl-namenode-node2.zhch.out
[yyl@node2 ~]$ jps
1508 Jps
1445 NameNode

三、HDFS联邦检查 

http://node1.zhch:50070/

http://node2.zhch:50070/

 

四、启动DataNode和yarn 

[yyl@node1 ~]$ hadoop-daemons.sh start datanode
node4.zhch: starting datanode, logging to /home/yyl/program/hadoop-2.5.2/logs/hadoop-yyl-datanode-node4.zhch.out
node5.zhch: starting datanode, logging to /home/yyl/program/hadoop-2.5.2/logs/hadoop-yyl-datanode-node5.zhch.out
node3.zhch: starting datanode, logging to /home/yyl/program/hadoop-2.5.2/logs/hadoop-yyl-datanode-node3.zhch.out
[yyl@node1 ~]$ start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /home/yyl/program/hadoop-2.5.2/logs/yarn-yyl-resourcemanager-node1.zhch.out
node5.zhch: starting nodemanager, logging to /home/yyl/program/hadoop-2.5.2/logs/yarn-yyl-nodemanager-node5.zhch.out
node3.zhch: starting nodemanager, logging to /home/yyl/program/hadoop-2.5.2/logs/yarn-yyl-nodemanager-node3.zhch.out
node4.zhch: starting nodemanager, logging to /home/yyl/program/hadoop-2.5.2/logs/yarn-yyl-nodemanager-node4.zhch.out
[yyl@node1 ~]$ jps
1402 Jps
1177 NameNode
1333 ResourceManager
[yyl@node2 ~]$ jps
1445 NameNode
1539 Jps
[yyl@node3 ~]$ jps
1214 NodeManager
1166 DataNode
1256 Jps

下次启动不需要重复上面的步骤，可以直接使用下面的命令启动集群：
sh $HADOOP_HOME/sbin/start-dfs.sh
sh $HADOOP_HOME/sbin/start-yarn.sh