搭建hbase1.2.5完全分布式集群

简介

有一段时间，没写博客了，因为公司开发分布式调用链追踪系统，用到hbase,在这里记录一下搭建过程

1、集群如下：

ip	主机名	角色
192.168.6.130	node1.jacky.com	maser
192.168.6.131	node2.jacky.com	slave
192.168.6.132	node3.jacky.com	slave

2、文件如下：

[root@node1 software]# ll

总用量

-rw-r--r--.  root root  9月   : hadoop-2.7..tar.gz

-rw-r--r--.  root root  9月   : hbase-1.2.-bin.tar.gz

-rwxr-xr-x.  root root  9月   : jdk-8u11-linux-x64.rpm

-rw-r--r--.  root root   10月   zookeeper-3.4..tar.gz

说明：安装hbase之前，需要安装hadoop环境（hbase用到hadoop的hdfs）,需要zookeeper环境，需要jdk环境

3、安装hadoop、centos7.0环境配置

3.1、修改3台机器的hosts文件，配置ip和主机名映射

[root@node1 jacky]# vim /etc/hosts

在文件后面添加内容为：

192.168.6.130 node1.jacky.com

192.168.6.131 node2.jacky.com

192.168.6.132 node3.jacky.com

3.2、修改3台机器hostname文件

在192.168.6.130机器中修改，修改hostname为

[root@node1 jacky]# cat /etc/hostname

node1.jacky.com

很显然另外两台技术设置的主机名分别为node2.jacky.com和node3.jacky.com

3.3、配置192.168.6.130可以免密码登录192.168.6.131和192.168.6.132

步骤：

生成公钥和私钥
修改公钥名称为authorized_keys

[root@node1 ~]# ssh-keygen

Generating public/private rsa key pair.

Enter file in which to save the key (/root/.ssh/id_rsa):

Enter passphrase (empty for no passphrase):

Enter same passphrase again:

Your identification has been saved in /root/.ssh/id_rsa.

Your public key has been saved in /root/.ssh/id_rsa.pub.

The key fingerprint is:

SHA256:pvR6iWfppGPSFZlAqP35/6DEtGTvaMY64otThWoBTuk root@localhost.localdomain

The key's randomart image is:

+---[RSA ]----+

|  .  o.          |

|.o  . .          |

|+. o . . o       |

| Eo o . +        |

|   o o..S.       |

|  o ..oO.o       |

| . . ..=*oo      |

|  ..o *=@+ .     |

|  .oo=+@+.o..    |

+----[SHA256]-----+

[root@node1 .ssh]# cp id_rsa.pub authorized_keys
[root@node1 .ssh]# chmod 777 authorized_keys #修改文件权限

说明：

authorized_keys:存放远程免密登录的公钥,主要通过这个文件记录多台机器的公钥
id_rsa : 生成的私钥文件
id_rsa.pub ：生成的公钥文件
know_hosts : 已知的主机公钥清单

[root@node1 .ssh]# ssh-copy-id -i root@node1.jacky.com 到自己

[root@node1 .ssh]# ssh-copy-id -i root@node2.jacky.com

[root@node1 .ssh]# ssh-copy-id -i root@node3.jacky.com

3.4、配置hadoop的环境变量

[root@node1 software]# vim /etc/profile

# hadoop

export HADOOP_HOME=/usr/local/hadoop-2.7.

export HADOOP_MAPRED_HOME=$HADOOP_HOME

export HADOOP_COMMON_HOME=$HADOOP_HOME

export HADOOP_HDFS_HOME=$HADOOP_HOME

export YARN_HOME=$HADOOP_HOME

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin

export HADOOP_INSTALL=$HADOOP_HOME

输入 source /etc/profile 使配置文件生效。

[root@node1 software]#  source /etc/profile

4、hadoop配置

4.1、上传hadoop文件

[root@node1 software]# ll

总用量

-rw-r--r--.  root root  9月   : hadoop-2.7..tar.gz

-rw-r--r--.  root root  9月   : hbase-1.2.-bin.tar.gz

-rwxr-xr-x.  root root  9月   : jdk-8u11-linux-x64.rpm

-rw-r--r--.  root root   10月   zookeeper-3.4..tar.gz

[root@node1 software]# pwd

/usr/software

[root@node1 software]#

说明：我把hadoop-2.7.3.tar.gz上传到/usr/software

4.2、配置hadoop-env.sh文件

# The java implementation to use.

export JAVA_HOME=/usr/java/jdk1..0_11

4.3、配置yarn-env.sh文件

export JAVA_HOME=/usr/java/jdk1..0_11

4.4、修改slaves文件，指定master的小弟，在master机器上，sbin目录下只执行start-all.sh，能够启动所有slave的DataNode和NodeManager

[root@node1 hadoop]# cat slaves

node2.jacky.com

node3.jacky.com

4.5、修改hadoop核心配置文件core-site.xml

<configuration>

  <!--配置hadoop使用的文件系统，配置hadoop内置的文件系统-->

   <property>

        <name>fs.defaultFS</name>

        <value>hdfs://node1.jacky.com:9000</value>

    </property>

   <!--配置hadoop数据目录-->

    <property>

        <name>hadoop.tmp.dir</name>

        <value>/usr/local/hadoop-2.7./tmp</value>

    </property>

</configuration>

说明：目录/usr/local/hadoop-2.7.3/tmp，是自己新建的

4.6、修改hdfs-site.xml文件

<configuration>

    <property>

      <name>dfs.namenode.secondary.http-address</name>

      <value>node1.jacky.com:</value>

    </property>

    <property>

      <name>dfs.replication</name>

      <value></value>

    </property>

    <property>

        <name>dfs.name.dir</name>

        <value>/usr/local/hadoop-2.7./hadoop/name</value>

    </property>

    <property>

        <name>dfs.data.dir</name>

        <value>/usr/local/hadoop-2.7./hadoop/data</value>

    </property>

    <property>

      <name>dfs.webhdfs.enabled</name>

      <value>true</value>

    </property>

</configuration>

4.7、修改mapred-site.xml文件

<configuration>

       <!--mapreduce配置在yarn集群上跑-->

        <property>

　　　　　　　　<name>mapreduce.framework.name</name>

                <value>yarn</value>

           </property>

          <property>

                  <name>mapreduce.jobhistory.address</name>

                  <value>node1.jacky.com:</value>

          </property>

          <property>

                <name>mapreduce.jobhistory.webapp.address</name>

                <value>node1.jacky.com:</value>

       </property>

</configuration>

4.8、修改yarn-site.xml文件

<configuration>

        <property>

               <name>yarn.nodemanager.aux-services</name>

               <value>mapreduce_shuffle</value>

        </property>

        <property>

<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>

               <value>org.apache.hadoop.mapred.ShuffleHandler</value>

        </property>

       <!--配置yarn的master-->

        <property>

               <name>yarn.resourcemanager.address</name>

               <value>node1.jacky.com:</value>

       </property>

       <property>

               <name>yarn.resourcemanager.scheduler.address</name>

               <value>node1.jacky.com:</value>

       </property>

       <property>

            <name>yarn.resourcemanager.resource-tracker.address</name>

             <value>node1.jacky.com:</value>

      </property>

      <property>

              <name>yarn.resourcemanager.admin.address</name>

               <value>node1.jacky.com:</value>

       </property>

       <property>

               <name>yarn.resourcemanager.webapp.address</name>

               <value>node1.jacky.com:</value>

       </property>

</configuration>

4.9、然后把在master的配置拷贝到node2.jacky.com和node3.jacky.com节点上

[root@node1 hadoop-2.7.3]# scp -r hadoop-2.7. root@node2.jacky.com:/usr/local/

[root@node1 hadoop-2.7.3]# scp -r hadoop-2.7. root@node3.jacky.com:/usr/local/

5、启动hadoop

5.1、格式化hadoop

[root@node1 hadoop-2.7.]# hdfs namenode -format

5.2、启动hadoop

[root@node1 sbin]# start-all.sh

5.3、用jps命令查看三台机器上hadoop有没起来

192.168.6.130

[root@node1 sbin]# jps

 QuorumPeerMain

 NameNode

 ResourceManager

 Jps

 SecondaryNameNode

192.168.6.131

[root@node2 jacky]# jps

 Jps

 DataNode

 QuorumPeerMain

 NodeManager

192.168.6.132

[root@node2 jacky]# jps

 Jps

 DataNode

 QuorumPeerMain

 NodeManager

5.4、界面查看验证

http://192.168.6.130:8088/cluster/nodes

查看dataNode是否启动

http://192.168.6.130:50070/

好了，到这里，hadoop-2.7.3完全分布式集群搭建成功了，接下来我们将进入hbase搭建

6、hbase完全分布式集群搭建

6.1、上传到文件到/usr/software目录下，解压到/usr/local目录下

[root@node2 software]# ll

总用量

-rw-r--r--.  root root  9月   : hadoop-2.7..tar.gz

-rw-r--r--.  root root  9月   : hbase-1.2.-bin.tar.gz

-rw-r--r--.  root root   10月   zookeeper-3.4..tar.gz

[root@node2 software]# pwd

/usr/software
[root@node2 software]# tar -xvzf hbase-1.2.5-bin.tar.gz -C /usr/local/

6.2、配置hbase环境变量vim /etc/profile

#hbase
export HBASE_HOME=/usr/local/hbase-1.2.

export PATH=$HBASE_HOME/bin:$PATH

执行 source /etc/profile，让配置生效

6.3、创建目录tmp

[root@node2 hbase-1.2.]# /usr/local/hbase-1.2./tmp

6.4、配置hbase-env.sh

export JAVA_HOME=/usr/java/jdk1..0_11

# Extra Java CLASSPATH elements.  Optional.

export HBASE_CLASSPATH=/usr/local/hadoop-2.7./etc/hadoop

# Tell HBase whether it should manage it's own instance of Zookeeper or not.
export HBASE_MANAGES_ZK=false 默认是true

6.5、配置hbase-site.xml

<configuration>

    <property>

        <name>hbase.rootdir</name>

        <value>hdfs://node1.jacky.com:9000/hbase</value>

    </property>

    <property>

        <name>hbase.master</name>

        <value>node1.jacky.com</value>

    </property>

    <property>

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

        <value>true</value>

    </property>

    <property>

        <name>hbase.tmp.dir</name>

        <value>/usr/local/hbase-1.2./tmp</value>

    </property>

    <property>

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

        <value></value>

    </property>

    <property>

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

        <value>node1.jacky.com,node2.jacky.com,node3.jacky.com</value>

    </property>

    <property>

        <name>hbase.zoopkeeper.property.dataDir</name>

        <value>/usr/local/zookeeper-3.4./data</value>

    </property>

    <property>

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

        <value></value>

    </property>

    <property>

        <name>dfs.support.append</name>

        <value>true</value>

    </property>

</configuration>

6.6、配置regionservers，其实就是配置master的小弟

node2.jacky.com

node3.jacky.com

6.7、用scp 命令把配置好的hbase程序分发到各个机器上

scp  hbase-1.2. root@node2.jacky.com:/usr/local

scp  hbase-1.2. root@node3.jacky.com:/usr/local

7、启动hbase,只需要在master机器上执行

[root@node1 bin]# ./start-hbase.sh

node3.jacky.com: starting zookeeper, logging to /usr/local/hbase-1.2./bin/../logs/hbase-root-zookeeper-node3.jacky.com.out

node2.jacky.com: starting zookeeper, logging to /usr/local/hbase-1.2./bin/../logs/hbase-root-zookeeper-node2.jacky.com.out

node1.jacky.com: starting zookeeper, logging to /usr/local/hbase-1.2./bin/../logs/hbase-root-zookeeper-node1.jacky.com.out

starting master, logging to /usr/local/hbase-1.2./logs/hbase-jacky-master-node1.jacky.com.out

node2.jacky.com: starting regionserver, logging to /usr/local/hbase-1.2./bin/../logs/hbase-root-regionserver-node2.jacky.com.out

node3.jacky.com: starting regionserver, logging to /usr/local/hbase-1.2./bin/../logs/hbase-root-regionserver-node3.jacky.com.out

node2.jacky.com: Java HotSpot(TM) -Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0

node2.jacky.com: Java HotSpot(TM) -Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0

[root@node1 bin]#

7.1、通过jps查看hbase进程