Ubuntu上的Hbase集群搭建

到http://mirror.bit.edu.cn/apache/hbase/下载对应的Hbase版本

我这里下载的是hbase-2.2.6-bin.tar.gz版本，是较稳定的版本。

解压：

tar -zxvf /home/hadoop/桌面/hbase-2.2.6-bin.tar.gz

移动位置并改名：

su
mv /home/hadoop/hbase-2.2.6 /usr/local/Hbase

更新文件夹所有者：

cd /usr/local/
chown -R hadoop:hadoop ./Hbase

配置环境：

echo "export PATH=/usr/local/Hbase/bin:$PATH" >> /etc/bash.bashrc
echo "export HBASE_HOME=/usr/local/Hbase" >> /etc/bash.bashrc
source /etc/bash.bashrc
exit
cd /usr/local/Hbase/
echo "export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/" >> conf/hbase-env.sh
cd ~
sudo vim /etc/profile

在profile的末尾添加

export HBASE_HOME=usr/local/Hbase
export PATH=$HBASE_HOME/bin:$PATH

修改配置文件：

cd /usr/local/Hbase/conf
vim hbase-env.sh

最下面的两行应该是：（前面如果配置了环境应该是只有第一行，那么只需要加入第二行就行了）

export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/
export HBASE_MANAGES_ZK=false

保存退出

vim hbase-site.xml

修改如下：

<configuration>
  <!--
    The following properties are set for running HBase as a single process on a
    developer workstation. With this configuration, HBase is running in
    "stand-alone" mode and without a distributed file system. In this mode, and
    without further configuration, HBase and ZooKeeper data are stored on the
    local filesystem, in a path under the value configured for `hbase.tmp.dir`.
    This value is overridden from its default value of `/tmp` because many
    systems clean `/tmp` on a regular basis. Instead, it points to a path within
    this HBase installation directory.

    Running against the `LocalFileSystem`, as opposed to a distributed
    filesystem, runs the risk of data integrity issues and data loss. Normally
    HBase will refuse to run in such an environment. Setting
    `hbase.unsafe.stream.capability.enforce` to `false` overrides this behavior,
    permitting operation. This configuration is for the developer workstation
    only and __should not be used in production!__

    See also https://hbase.apache.org/book.html#standalone_dist
  -->
  <property>
    <name>hbase.cluster.distributed</name>
    <value>true</value>
  </property>
  <property>
     <!-- 指定 hbase 在 HDFS 上的存储位置 -->
    <name>hbase.rootdir</name>
    <value>hdfs://master:9000/hbase</value>
  </property>
    <property>
        <!-- 指定 zookeeper 的地址-->
        <name>hbase.zookeeper.quorum</name>
        <value>master:2181,slave1:2181,slave2:2181,slave3:2181</value>
    </property>
  <property>
    <name>hbase.tmp.dir</name>
    <value>./tmp</value>
  </property>
  <property>
    <name>hbase.unsafe.stream.capability.enforce</name>
    <value>false</value>
  </property>
</configuration>

保存退出

vim regionservers

修改如下：

master
slave1
slave2
slave3

启动测试：

顺序是：1.hadoop  2.zookeeper    3.hbase

hadoop只需在master上启动即可

start-all.sh

在每台虚拟机上启动zookeeper

cd /usr/local/zookeeper/bin/
./zkServer.sh start

只需在master上启动hbase即可

cd /usr/local/Hbase/bin/
./start-hbase.sh

启动hbase后显示

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/Hbase/lib/client-facing-thirdparty/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
running master, logging to /usr/local/Hbase/bin/../logs/hbase-hadoop-master-master.out
slave2: running regionserver, logging to /usr/local/Hbase/bin/../logs/hbase-hadoop-regionserver-slave2.out
slave3: running regionserver, logging to /usr/local/Hbase/bin/../logs/hbase-hadoop-regionserver-slave3.out
slave1: running regionserver, logging to /usr/local/Hbase/bin/../logs/hbase-hadoop-regionserver-slave1.out
master: running regionserver, logging to /usr/local/Hbase/bin/../logs/hbase-hadoop-regionserver-master.out

通过jps命令查看：（出现HMaster）

3088 NameNode
11046 HMaster
3478 ResourceManager
11606 Jps
11241 HRegionServer
10750 QuorumPeerMain

进入master的Browse Directory查看

出现hbase目录

进入对应的16010端口查看：

 出现hbase集群状况

关闭：

先关闭hbase（master）

cd /usr/local/Hbase/bin/
./stop-hbase.sh

关闭zookeeper（每台机器）

cd /usr/local/zookeeper/bin/
./zkServer.sh stop

关闭hadoop（master）

cd ~
stop-all.sh