Hbase分布式安装

╰半橙微兮° 2022-08-26 15:14 29阅读 0赞

# 前提 #

hbase 安装的先决条件是先安装好hadoop，zookeeper，因为我们使用独立的zookeeper集群。

Hadoop安装参考："[hadoop1.1.2分布式环境搭建][hadoop1.1.2]"  [点击打开链接][hadoop1.1.2]

Zookeeper安装参考："[zookeeper分布式安装][zookeeper]" [点击打开链接][zookeeper]

# 准备工作 #

服务器信息：

![SouthEast][]

## 上传hbase包 ##

将hbase上传到icity0服务器的/home/hadoop/目录中，解压并且重命名为hbase。如图操作所示：

![SouthEast 1][]

## 配置hbase对jdk，hadoop的依赖 ##

进入hbase下面的conf目录，

**vi hbase-env.sh**

** **

**此文件中增加如下部分：**

**export JAVA\_HOME=/usr/java/jdk1.7.0\_09**

**export HBASE\_MANAGES\_ZK=false //告诉hbase不使用自带的zookeeper。**

**export HBASE\_HOME=/home/hadoop/hbase **

**export HADOOP\_HOME=/home/hadoop/hadoop  //hadoop 的home目录。**

** **

## 配置 hbase-site.xml文件 ##

编辑**hbase-site.xml文件，增加如下内容：**

** **

<name>hbase.hregion.memstore.flush.size</name>

Maximum desired file size for an HRegion.  If filesize exceeds

value + (value / 2), the HRegion is split in two.  Default: 256M.

Keep the maximum filesize small so we splitmore often in tests.

</description>

</property>

<name>hbase.hregion.max.filesize</name>se.hregion.memstore.flush.size

Maximum desired file size for anHRegion.  If filesize exceeds

value + (value / 2), the HRegion is split in two.  Default: 256M.

Keep the maximum filesize small so we split more often in tests.

</description>

</property>

<name>hbase.zookeeper.property.clientPort</name>

<description>Property from ZooKeeper's config zoo.cfg.

The port at which the clients will connect.

</description>

</property>

<name>hbase.zookeeper.quorum</name>

<value>icity0,icity1,icity2</value>

<description>Comma separated list of servers in the ZooKeeperQuorum.

For example,"host1.mydomain.com,host2.mydomain.com,host3.mydomain.com".

By default this is set to localhost for local and pseudo-distributedmodes

of operation. For a fully-distributed setup, this should be set to afull

list of ZooKeeper quorum servers. If HBASE\_MANAGES\_ZK is set inhbase-env.sh

this is the list of servers which we will start/stop ZooKeeper on.

</description>

</property>

<name>zookeeper.session.timeout</name>

<description>Property from ZooKeeper's config zoo.cfg.

The directory where the snapshot is stored.

</description>

</property>

<name>hbase.rootdir</name>

<value>hdfs://icity0:9000/hbasedir</value>

</property>

<name>hbase.cluster.distributed</name>

<description>The mode the cluster will be in. Possible values are

false: standalone and pseudo-distributed setups with managed Zookeeper

true: fully-distributed with unmanaged Zookeeper Quorum (seehbase-env.sh)

</description>

</property>

<name>hbase.master</name>

<value>icity0:60000</value>

</property>

<name>dfs.replication</name>

</property>

注：dfs.replication这个参数的配置根据实际需要修改，如果需要复制5份，就填5.如果不配置，在hadoop-site.xml中也为配置的话，其默认复制3份。

## 配置regionservers文件 ##

编辑regionservers文件，增加如下内容，见图：

![SouthEast 2][]

# 复制habase整个目录 #

复制habase整个目录到icity2，icity3服务器。

![SouthEast 3][]

# 配置环境变量 #

修改hadoop用户的.bash\_profile文件。增加如下部分，如图所示：

**vi .bash\_profile**

![SouthEast 4][]

是环境变量生效：

**source .bash\_profile**

将上面的配置文件scp到icity1 icity2服务器上，然后**source .bash\_profile。**

# 启动habase #

经过上面配置完后，可以通过bin/start-hbase.sh命令启动hbase集群。注意启动hbase前，先要启动hadoop和zookeeper集群。

## 启动hbase ##

**bin/start-hbase.sh**

** **

**启动报错：**

** ![SouthEast 5][]**

**由于之前在编辑**regionservers文件是未将localhost删除，而是\#localhost了。故先停止hbase后，将所有服务器上的regionservers 文件中的\#localhost删除掉，重新启动hbase。

![SouthEast 6][]

启动成功日志及进程：

**其master为icity0；**

**Icity1 jps查看：**

![SouthEast 7][]

启动成功后，可以通过http://localhost:60010查看hbase的管理页面，如图所示：

![SouthEast 8][]

## 关闭hbase ##

**bin/stop-hbase.sh**

** **

# hbase shell #

通过hbase shell 进入shell操作界面：

![SouthEast 9][]

更多详细操作参考官方文档。

[hadoop1.1.2]: http://blog.csdn.net/wangmuming/article/details/23290349
[zookeeper]: http://blog.csdn.net/wangmuming/article/details/23523767
[SouthEast]: /images/20220824/533090f9f25945f7a4eb198b677c22e0.png
[SouthEast 1]: /images/20220824/9c8da5c1066e4e8db9c07545dc147529.png
[SouthEast 2]: /images/20220824/ef63dd1b0af046baa673171cfe594936.png
[SouthEast 3]: /images/20220824/1fbf591a56384ba38986e881ad8538f4.png
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