一、环境
1、系统：Red Hat Enterprise Linux Server release 6.4
2、所需软件包
hadoop-2.2.0.tar.gz
hbase-0.98.2-hadoop2-bin.tar.gz
jdk-7u67-linux-x64.tar.gz
zookeeper-3.4.6.tar.gz
3、各机器运行服务
192.168.10.40 master1 namenode resourcemanager ZKFC hmaster
192.168.10.41 master2 namenode ZKFC hmaster(backup)
192.168.10.42 slave1 datanode nodemanager journalnode hregionserver zookeeper
192.168.10.43 slave2 datanode nodemanager journalnode hregionserver zookeeper
192.168.10.44 slave3 datanode nodemanager journalnode hregionserver zookeeper
二、安装步骤：（为了便于同步，一般都是在master1上操作）
1、ssh无密码登录
(mkdir -m700 .ssh)
2、jdk的安装(每台都是)
1）、解压
tar zxf jdk-7u67-linux-x64.tar.gz
ln -sf jdk1.7.0_67 jdk
2）、配置
sudo vim /etc/profile
export JAVA_HOME=/home/richmail/jdk
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
3）执行，使生效
source /etc/profile
3、zookeeper的安装
1）解压
tar zxf zookeeper-3.4.6.tar.gz
ln -sf zookeeper-3.4.6 zookeeper
2）、配置
vim zookeeper/bin/zkEnv.sh
ZOO_LOG_DIR="/home/richmail/zookeeper/logs"
cd zookeeper/conf
cp zoo_sample.cfg zoo.cfg
vim zoo.cfg
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/home/richmail/zookeeper/data
dataLogDir=/home/richmail/zookeeper/logs
clientPort=2181
server.1=slave1:2888:3888
server.2=slave2:2888:3888
server.3=slave3:2888:3888
mkdir -p /home/richmail/zookeeper/{data,logs}
3）、复制到slave1,slave2,slave3上
cd
scp -rv zookeeper slave1:~/
ssh slave1 ‘echo 1 > /home/richmail/zookeeper/data/myid’
scp -rv zookeeper slave2:~/
ssh slave1 ‘echo 2 > /home/richmail/zookeeper/data/myid'
scp -rv zookeeper slave3:~/
ssh slave1 ‘echo 3 > /home/richmail/zookeeper/data/myid’
4）、启动zookeeper
分别去slave1,slave2,slave3区启动zookeeper
cd ~/zookeeper/bin
./zkServer.sh start
4、hadoop的安装
1)、解压
tar zxf hadoop-2.2.0.tar.gz
ln -sf hadoop-2.2.0 hadoop
2）、配置
cd /home/richmail/hadoop/etc/hadoop
vim core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://cluster</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/home/richmail/hadoop/storage/tmp</value>
</property>
<property>
<name>ha.zookeeper.quorum</name>
<value>slave1:2181,slave2:2181,slave3:2181</value>
</property>
</configuration>
mkdir -p /home/richmail/hadoop/storage/tmp
vim hadoop-env.sh
export JAVA_HOME=/home/richmail/jdk
export HADOOP_PID_DIR=/var/hadoop/pids //默认 /tmp下
vim hdfs-site.xml
<configuration>
<property>
<name>dfs.nameservices</name>
<value>cluster</value>
</property>
<property>
<name>dfs.ha.namenodes.cluster</name>
<value>master1,master2</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster.master1</name>
<value>master1:9000</value>
</property>
<property>
<name>dfs.namenode.rpc-address.cluster.master2</name>
<value>master2:9000</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster.master1</name>
<value>master1:50070</value>
</property>
<property>
<name>dfs.namenode.http-address.cluster.master2</name>
<value>master2:50070</value>
</property>
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://slave1:8485;slave2:8485;slave3:8485/cluster</value>
</property>
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<property>
<name>dfs.client.failover.proxy.provider.cluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/home/richmail/.ssh/id_rsa</value>
</property>
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/home/richmail/hadoop/storage/journal</value>
</property>
</configuration>
mkdir -p /home/richmail/hadoop/storage/journal
vim mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
vim yarn-env.sh
export YARN_PID_DIR=/var/hadoop/pids
vim yarn-site.sh
<configuration>
<property>
<name>yarn.resourcemanager.hostname</name>
<value>master1</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
vim slaves
slave1
slave2
slave3
3）、复制至其他机器
cd
scp -rv hadoop master2:~/
scp -rv hadoop slaver1:~/
scp -rv hadoop slaver2:~/
scp -rv hadoop slaver3:~/
4）、启动hadoop
1)、在slave1，slave2,slave3上执行journalnode
cd ~/hadoop/sbin
./hadoop-daemon.sh start journalnode
2)、在master1上执行
cd ~/hadoop/bin
./hdfs zkfc -formatZK
./hdfs namenode -format
cd ../sbin
./hadoop-daemon.sh start namenode
./start-all.sh
3)、在master2上执行
cd ~/hadoop/bin
hdfs namenode -bootstrapStandby
cd ../sbin
hadoop-daemon.sh start namenode
5）、验证
使用浏览器访问192.168.10.40:50070和192.168.10.41:50070,能够看到两个节点。一个是active，一个是standny
或者在名字节点执行命令：
hdfs haadmin -getServiceState master1
hdfs haadmin -getServiceState master2
执行hdfs haadmin –failover –forceactive master1 master2，可以使这两个节点的状态进行交换
5、hbase的安装
1）、解压
tar zxf hbase-0.98.2-hadoop2-bin.tar.gz
ln -sf hbase-0.98.2-hadoop2 hbase
2）、配置
cd ~/hbase/conf
vim hbase-env.sh
export JAVA_HOME=/home/richmail/jdk
export HBASE_MANAGES_ZK=false
vim hbase-env.sh
export HBASE_PID_DIR=/var/hadoop/pids
vim regionservers
slave1
slave2
slave3
vim hbase-site.xml
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://cluster/hbase</value>
</property>
<property>
<name>hbase.master</name>
<value>60000</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>slave1,slave2,slave3</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/home/richmail/hbase/zkdata</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/home/richmail/hbase/data</value>
</property>
</configuration>
mkdir ~/hbase/{zkdata,data}
hbase有个启动错误需要把hadoop的配置文件hdfs-site.xml复制到hbase/conf下，才能解决
3）、复制至其他机器
cd
scp -rv hbase master2:~/
scp -rv hbase slaver1:~/
scp -rv hbase slaver2:~/
scp -rv hbase slaver3:~/
4）、启动hbase
在master1上执行
cd ~/hbase/bin
./start-hbase.sh
在master2上执行
./bin/hbase-daemon.sh start master --backup
至此这个集群就部署OK啦
