HBase 的安装与配置

忘是亡心i 2022-12-19 13:19 163阅读 0赞

# 1、HBase的模式 #

*  本地模式
 *  伪分布式
 *  完全分布式

# 2、本地模式的安装 #

### 2.1、编辑conf/hbase-env.sh ###

vim hbase-env.sh

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70][]

### 2.2、编辑conf/hbase-site.xml ###

vim hbase-site.xml

<configuration>
      
      <property>
        <name>hbase.cluster.distributed</name>
        <value>false</value>
      </property>
      <property>
        <name>hbase.tmp.dir</name>
        <value>./tmp</value>
      </property>
      <property>
        <name>hbase.unsafe.stream.capability.enforce</name>
        <value>false</value>
      </property>
      <property>
        <name>hbase.rootdir</name>
        <value>file:/mine/hbase-2.3.3/dataDir</value>
      </property>
    </configuration>

### 2.3 配置环境变量 ###

vim /etc/profile

export JAVA_HOME=/mine/jdk1.8.0_201
    export HIVE_HOME=/mine/apache-hive-3.1.2-bin
    export HADOOP_HOME=/mine/hadoop-3.2.0
    export FLUME_HOME=/mine/apache-flume-1.9.0-bin
    export SQOOP_HOME=/mine/sqoop-1.4.6.bin__hadoop-2.0.4-alpha
    export ZOOKEEPER_HOME=/mine/apache-zookeeper-3.6.2-bin
    export HBASE_HOME=/mine/hbase-2.3.3
    export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:/$HADOOP_HOME/sbin:$ZOOKEEPER_HOME/bin:$HIVE_HOME/bin:$FLUME_HOME/bin:$SQOOP_HOME/bin:$HBASE_HOME/bin

### 2.4、启动hbase ###

start-hbase.sh

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 1][]

![2020110806150348.png][]

### 2.5、web页面 ###

**网址：[http://hadoop01:16010/][http_hadoop01_16010]**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 2][]

![20201108063108146.png][]

# 3、单机伪分布式安装 #

### **3.1、编辑hbase-env.sh** ###

vim hbase-env.sh

export JAVA_HOME=/mine/jdk1.8.0_201/

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 3][]

### 3.2、编辑hbase-site.xml ###

vim hbase-site.xml

<property>
        <name>hbase.cluster.distributed</name>
        <value>true</value>
      </property>
      <property>
        <name>hbase.tmp.dir</name>
        <value>./tmp</value>
      </property>
      <property>
        <name>hbase.unsafe.stream.capability.enforce</name>
        <value>false</value>
      </property>
    
      <property>
            <name>hbase.rootdir</name>
            <value>hdfs://hadoop01:9000/hbase</value>
      </property>

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 4][]

### 3.3、启动hdfs和yarn ###

start-dfs.sh
    start-yarn.sh
    ###或者
    start-all.sh

![20201108115701273.png][]

![20201108115718875.png][]

### 3.4、启动hbase ###

start-hbase.sh

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 5][]

![20201108115855721.png][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 6][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 7][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 8][]

# 4、完全分布式 #

### 4.1、节点分布 ###

<table style="width:500px;"> 
 <tbody> 
  <tr> 
   <td>机器</td> 
   <td>zookeeper</td> 
   <td>HMASTER</td> 
   <td>HREGIONSERVER</td> 
  </tr> 
  <tr> 
   <td>hadoop01</td> 
   <td>Y</td> 
   <td>Y</td> 
   <td>Y</td> 
  </tr> 
  <tr> 
   <td>hadoop02</td> 
   <td>Y</td> 
   <td>Y</td> 
   <td>Y</td> 
  </tr> 
  <tr> 
   <td>hadoop03</td> 
   <td>Y</td> 
   <td>&nbsp;</td> 
   <td>Y</td> 
  </tr> 
 </tbody> 
</table>

###  4.2、安装zookeeper ###

# The number of milliseconds of each tick
    tickTime=2000
    # The number of ticks that the initial
    # synchronization phase can take
    initLimit=10
    # The number of ticks that can pass between
    # sending a request and getting an acknowledgement
    syncLimit=5
    # the directory where the snapshot is stored.
    # do not use /tmp for storage, /tmp here is just
    # example sakes.
    dataDir=/mine/apache-zookeeper-3.6.2-bin/dataDir
    # the port at which the clients will connect
    clientPort=2181
    # the maximum number of client connections.
    # increase this if you need to handle more clients
    #maxClientCnxns=60
    #
    # Be sure to read the maintenance section of the
    # administrator guide before turning on autopurge.
    #
    # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
    #
    # The number of snapshots to retain in dataDir
    #autopurge.snapRetainCount=3
    # Purge task interval in hours
    # Set to "0" to disable auto purge feature
    #autopurge.purgeInterval=1
    
    ## Metrics Providers
    #
    # https://prometheus.io Metrics Exporter
    #metricsProvider.className=org.apache.zookeeper.metrics.prometheus.PrometheusMetricsProvider
    #metricsProvider.httpPort=7000
    #metricsProvider.exportJvmInfo=true
    server.1=hadoop01:2888:3888
    server.2=hadoop02:2888:3888
    server.3=hadoop03:2888:3888

### 4.3、编辑hbase-env.sh ###

vim hbase-env.sh

export JAVA_HOME=/mine/jdk1.8.0_201/
    export HBASE_MANAGES_ZK=false

### 4.4、编辑hbase-site.xml ###

vim hbase-site.xml

<property>
                                    <name>hbase.cluster.distributed</name>
                                    <value>true</value>
                            </property>
    
                            
                            <property>
                                    <name>hbase.rootdir</name>
                                    <value>hdfs://hadoop01:9000/hbase</value>
                            </property>
                            
                            <property>
                                    <name>hbase.zookeeper.quorum</name>
                                    <value>hadoop01:2181,hadoop02:2181,hadoop03:2181</value>
                            </property>
                            
                            <property>
                                    <name>hbase.zookeeper.property.dataDir</name>
                                    <value>/mine/apache-zookeeper-3.6.2-bin/dataDir</value>

### 4.5、编辑regionservers ###

vim regionservers

hadoop01
    hadoop02
    hadoop03

### 4.6、拷贝hbase-2.3.3到hadoop01、hadoop02、hadoop03 ###

scp hbase-2.3.3 hadoop02:/mine/
    scp hbase-2.3.3 hadoop03:/mine/

### 4.7、启动hbase ###

start-hbase.sh

**hadoop01:**

![20201108153000408.png][]

**hadoop02:**

hbase-daemon.sh start master

![20201108153057503.png][]

**hadoop03:**

![20201108153126189.png][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3d0bDE5OTI_size_16_color_FFFFFF_t_70 9][]

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[2020110806150348.png]: https://img-blog.csdnimg.cn/2020110806150348.png
[http_hadoop01_16010]: http://hadoop01:16010/
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[20201108063108146.png]: https://img-blog.csdnimg.cn/20201108063108146.png
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[20201108115701273.png]: https://img-blog.csdnimg.cn/20201108115701273.png
[20201108115718875.png]: https://img-blog.csdnimg.cn/20201108115718875.png
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[20201108153000408.png]: https://img-blog.csdnimg.cn/20201108153000408.png
[20201108153057503.png]: https://img-blog.csdnimg.cn/20201108153057503.png
[20201108153126189.png]: https://img-blog.csdnimg.cn/20201108153126189.png
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