Linux下Hadoop(伪分布) + Zookeeper + HBase（一个节点） 部署

下面将介绍，Hbase的部署过程。

前期准备：

1.安装配置好hadoop(我这里是伪分布)，并确认能够使用

core-site.xml文件配置如下：

<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://172.16.43.10:9000</value>
</property>
<property>
<name>dfs.datanode.socket.write.timeout</name>
<value>3000000</value>
</property>

<property>
<name>dfs.socket.timeout</name>
<value>3000000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/home/hadoop/tmp</value>
<description>A base for other temporary directories.</description>
</property>
</configuration>
2.安装配置好Zookeeper（我在本机通过三个tomcat搭建了一个三个节点的环境）

第一个zoo.cfg：

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=5
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=2
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/home/hadoop/zookeeper/zookeeper0/data
dataLogDir=/home/hadoop/zookeeper/zookeeper0/logs
# the port at which the clients will connect
clientPort=2181
server.0=172.16.43.10:8880:7770
server.1=172.16.43.10:8881:7771
server.2=172.16.43.10:8882:7772 第二个：
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=5
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=2
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/home/hadoop/zookeeper/zookeeper0/data
dataLogDir=/home/hadoop/zookeeper/zookeeper0/logs
# the port at which the clients will connect
clientPort=2182
server.0=172.16.43.10:8880:7770
server.1=172.16.43.10:8881:7771
server.2=172.16.43.10:8882:7772
第三个：
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=5
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=2
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/home/hadoop/zookeeper/zookeeper0/data
dataLogDir=/home/hadoop/zookeeper/zookeeper0/logs
# the port at which the clients will connect
clientPort=2182
server.0=172.16.43.10:8880:7770
server.1=172.16.43.10:8881:7771
server.2=172.16.43.10:8882:7772 3.hbase-1.1.2-bin.tar 
一、正式开始部署

1.上传hbase-1.1.2-bin.tar到linux系统上，并解压(我解压在 /home/hadoop/hbase 文件夹中)

tar -zxvf hbase-1.1.2-bin.tar
注：解压后，请确认好，该文件夹的权限，以免出现不必要的问题
2.开始配置hbase,进入 /home/hadoop/hbase/hbase-1.1.2/conf，并修改hbase-site.xml文件

cd /home/hadoop/hbase/hbase-1.1.2/conf
vi hbase-site.xml
修改后的hbase-site.xml内容为：
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://hadoop:9000/hbase</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.master</name>
<value>hadoop:60000</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>172.16.43.10:2181,172.16.43.10:2182,172.16.43.10:2183</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>/home/hadoop/hbase-tmp</value>
</property>
<property>
<name>hbase.master.info.port<
4000
;/name>
<value>60010</value>
</property>
</configuration> 注：1.hbase.rootdir 属性值设置时，请直接写主机名，我这里为 hadoop 对应的是 172.16.43.10
2.hbase.zookeeper.quorum 设置时，请根据Zookeeper的zoo.cfg配置文件的内容进行配置，这里需要制定端口号，如果直接写172.16.43.10,则Hbase只会去连接一个Zookeeper节点

3.需要配置hbase.master.info.port的值，否则在浏览器无法访问到Hbase管理界面，设置了后，直接访问 172.16.43.10:60010

3.修改hbase-ebv.sh

修改指定几个属性的内容为：

export JAVA_HOME=/home/hadoop/java/jdk1.7.0_75
export HBASE_CLASSPATH=/home/hadoop/hadoop-src/hadoop-2.5.1/etc/hadoop
export HBASE_MANAGES_ZK=false JAVA_HOME  为你安装的JAVA的目录
HBASE_CLASSPATH 为你安装的hadoop的配置文件的目录

 HBASE_MANAGES_ZK 设置为false 或者不设置，使用外部Zookeeper

4.修改完毕后，先确保hadoop,Zookeeper启动正常后，启动Hbase

cd /home/hadoop/hbase/hbase-1.1.2/bin
./start-hbase.sh 注：如果出现错误，可以到logs文件夹底下进行相应的查看
5.简单验证是否启动成功，在bin目录下，进入hbase shell 客户端

./hbase shell 进入成功，则代表启动成功，或者直接在浏览器中访问 172.16.43.10:60010。

至此，Hbase部署完毕