实战hadoop2.6.3+zookeeper3.4.6+hbase1.0.2高可用集群方案

一、安装前准备

1.环境5台

2、修改hosts文件

[root@hadoop01 ~]# cat /etc/hosts

192.168.10.201hadoop01

192.168.10.202hadoop02

192.168.10.203hadoop03

192.168.10.204hadoop04

192.168.10.205hadoop05

3、ssh 免密码登录

在每台操作

[root@hadoop01 ~]# mkidr ~/.ssh

[root@hadoop01 ~]# chmod 700 ~/.ssh

[root@hadoop01 ~]#cd ~/.ssh/

[root@hadoop01 .ssh ]ssh-keygen -t rsa

五台操作完成 后做成公钥文件

[root@hadoop01 .ssh ] ssh hadoop02 cat /root/.ssh/id_rsa.pub >> authorized_keys

[root@hadoop01 .ssh ] ssh hadoop03 cat /root/.ssh/id_rsa.pub >> authorized_keys

[root@hadoop01 .ssh ] ssh hadoop04 cat /root/.ssh/id_rsa.pub >> authorized_keys

[root@hadoop01 .ssh ] ssh hadoop05 cat /root/.ssh/id_rsa.pub >> authorized_keys

[root@hadoop01 .ssh ] ssh hadoop01 cat /root/.ssh/id_rsa.pub >> authorized_keys

[root@hadoop01 .ssh]# chmod 600 authorized_keys

[root@hadoop01 .ssh]# scp authorized_keys hadoop02:/root/.ssh/

[root@hadoop01 .ssh]# scp authorized_keys hadoop03:/root/.ssh/

[root@hadoop01 .ssh]# scp authorized_keys hadoop04:/root/.ssh/

[root@hadoop01 .ssh]# scp authorized_keys hadoop05:/root/.ssh/

测试ssh信任

[root@hadoop01 .ssh]# ssh hadoop02 date

Mon Aug  8 11:07:23 CST 2016

[root@hadoop01 .ssh]# ssh hadoop03 date

Mon Aug  8 11:07:26 CST 2016

[root@hadoop01 .ssh]# ssh hadoop04 date

Mon Aug  8 11:07:29 CST 2016

[root@hadoop01 .ssh]# ssh hadoop05 date

5.服务时间同步(五台操作)

yum -y install ntpdate

[root@hadoop01 .ssh]# crontab -l

0 * * * * /usr/sbin/ntpdate 0.rhel.pool.ntp.org && /sbin/clock -w

可以采用别的方案同步时间

6.修改文件打开数（五台操作）

[root@hadoop01 ~]# vi /etc/security/limits.conf

root soft nofile 65535

root hard nofile 65535

root soft nproc 32000

root hard nproc 32000

[root@hadoop01 ~]# vi /etc/pam.d/login

session  required        pam_limits.so

修改完后重启系统

二、安装hadoop+zookeeper HA

1.安装jdk  (五台操作)

解压jdk

[root@hadoop01 ~] cd /opt

[root@hadoop01 opt]# tar zxvf jdk-7u21-linux-x64.tar.gz

[root@hadoop01 opt]# mv jdk1.7.0_21 jdk

配置到环境变量/etc/profile

[root@hadoop01 opt]# vi /etc/profile

#java

JAVA_HOME=/opt/jdk

PATH=$JAVA_HOME/bin:$PATH

CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar

export JAVA_HOME

export PATH

export CLASSPATH

配置文件生效

[root@hadoop01 opt]# source /etc/profile 

[root@hadoop01 opt]# java -version

java version "1.7.0_21"

Java(TM) SE Runtime Environment (build 1.7.0_21-b11)

Java HotSpot(TM) 64-Bit Server VM (build 23.21-b01, mixed mode)

以上说明生效

2.解压hadoop并修改环境变量

[root@hadoop01 ~]# tar zxvf hadoop-2.6.3.tar.gz

[root@hadoop01 ~]#mkdir /data

[root@hadoop01 ~]# mv hadoop-2.6.3 /data/hadoop

[root@hadoop01 data]# vi /etc/profile

##hadoop

export HADOOP_HOME=/data/hadoop

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

[root@hadoop01 data]# source /etc/profile

3.修改hadoop配置文件

[root@hadoop01 data]# cd /data/hadoop/etc/hadoop/

[root@hadoop01 hadoop]# vi slaves

hadoop01

hadoop02

hadoop03

hadoop04

hadoop05

以上利用hadoop01,hadoop02两台磁盘空间，也增加进去了，不介意增加。

[root@hadoop01 hadoop]# vi hadoop-env.sh

  

[root@hadoop01 hadoop]# vi yarn-env.sh

 

修改core-site.xml文件

[root@hadoop01 hadoop]# vi core-site.xml

<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!--

  Licensed under the Apache License, Version 2.0 (the "License");

  you may not use this file except in compliance with the License.

  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software

  distributed under the License is distributed on an "AS IS" BASIS,

  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  See the License for the specific language governing permissions and

  limitations under the License. See accompanying LICENSE file.

-->

<!-- Put site-specific property overrides in this file. -->

<configuration>

<property>

<name>fs.defaultFS</name>

<value>hdfs://cluster</value>

<description>The name of the default file system.</description>

<final>true</final>

</property>

<property>

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

<value>/data/hadoop/tmp</value>

</property>

<property>

<name>ha.zookeeper.quorum</name>

<value>hadoop01:2190,hadoop02:2190,hadoop03:2190,hadoop04:2190,hadoop05:2190</value>

</property>

<property>

<name>io.file.buffer.size</name>

<value>2048</value>

</property>

        <property>

                <name>dfs.ha.fencing.methods</name>

                <value>sshfence</value>

        </property>

        <property>

                <name>dfs.ha.fencing.ssh.private-key-files</name>

                <value>/root/.ssh/id_dsa</value>

        </property>

</configuration>

修改hdfs-site.xml文件

[root@hadoop01 hadoop]# vi hdfs-site.xml

<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!--

  Licensed under the Apache License, Version 2.0 (the "License");

  you may not use this file except in compliance with the License.

  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software

  distributed under the License is distributed on an "AS IS" BASIS,

  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  See the License for the specific language governing permissions and

  limitations under the License. See accompanying LICENSE file.

-->

<!-- Put site-specific property overrides in this file. -->

<configuration>

<property>

                <name>dfs.nameservices</name>

                <value>cluster</value>

        </property>

        <property>

                <name>dfs.ha.namenodes.cluster</name>

                <value>nn1,nn2</value>

        </property>

        <property>

                <name>dfs.namenode.rpc-address.cluster.nn1</name>

                <value>hadoop01:8020</value>

        </property>

        <property>

                <name>dfs.namenode.rpc-address.cluster.nn2</name>

                <value>hadoop02:8020</value>

        </property>

        <property>

                <name>dfs.namenode.http-address.cluster.nn1</name>

                <value>hadoop01:50070</value>

        </property>

        <property>

                <name>dfs.namenode.http-address.cluster.nn2</name>

                <value>hadoop02:50070</value>

        </property>

<property>

                 <name>dfs.namenode.servicerpc-address.cluster.nn1</name>

                 <value>hadoop01:53333</value>

         </property>

         <property>

                 <name>dfs.namenode.servicerpc-address.cluster.nn2</name>

                 <value>hadoop02:53333</value>

         </property>

        <property>

                <name>dfs.namenode.shared.edits.dir</name>

                <value>qjournal://hadoop01:8485;hadoop02:8485;hadoop03:8485;hadoop04:8485;hadoop05:8485/cluster</value>

        </property>

        <property>

                <name>dfs.client.failover.proxy.provider.cluster</name>

                <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>

        </property>

        <property>

                <name>dfs.journalnode.edits.dir</name>

                <value>/data/hadoop/mydata/journal</value>

        </property>

<property>

<name>dfs.replication</name>

<value>3</value>

</property>

<property>  

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

       <value>file:/data/hadoop/mydata/name</value>  

</property>  

<property>  

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

    <value>file:/data/hadoop/mydata/data</value>  

</property>  

<property>

       <name>dfs.ha.automatic-failover.enabled</name>

<value>true</value>

</property>

<property>  

<name>dfs.webhdfs.enabled</name>  

<value>true</value>

</property>

<property>  

<name>dfs.journalnode.http-address</name>  

<value>0.0.0.0:8480</value>  

</property>  

<property>  

<name>dfs.journalnode.rpc-address</name>  

<value>0.0.0.0:8485</value>  

</property>

<property>    

<name>dfs.permissions</name>    

<value>false</value>    

</property>

</configuration>

修改mapred-site.xml

[root@hadoop01 hadoop]# vi mapred-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!--

  Licensed under the Apache License, Version 2.0 (the "License");

  you may not use this file except in compliance with the License.

  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software

  distributed under the License is distributed on an "AS IS" BASIS,

  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  See the License for the specific language governing permissions and

  limitations under the License. See accompanying LICENSE file.

-->

<!-- Put site-specific property overrides in this file. -->

<configuration>

<property>

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

<value>yarn</value>

</property>

<property>

<name>mapreduce.cluster.temp.dir</name>

<value>/data/hadoop/mydata/mr_temp</value>

</property>

<property>

<name>mareduce.jobhistory.address</name>

<value>hadoop01:10020</value>

</property>

<property>

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

<value>hadoop01:19888</value>

</property>

</configuration>

修改yarn-site.xml文件

[root@hadoop01 hadoop]# vi yarn-site.xml

<?xml version="1.0"?>

<!--

  Licensed under the Apache License, Version 2.0 (the "License");

  you may not use this file except in compliance with the License.

  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software

  distributed under the License is distributed on an "AS IS" BASIS,

  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

  See the License for the specific language governing permissions and

  limitations under the License. See accompanying LICENSE file.

-->

<configuration>

<!-- Site specific YARN configuration properties -->

<property>

<name>yarn.resourcemanager.connect.retry-interval.ms</name>

<value>60000</value>

</property>

<property>

<name>yarn.resourcemanager.ha.enabled</name>

<value>true</value>

</property>

<property>

<name>yarn.resourcemanager.cluster-id</name>

<value>rm-cluster</value>

</property>

<property>

<name>yarn.resourcemanager.ha.rm-ids</name>

<value>rm1,rm2</value>

</property>

<property>

<name>yarn.resourcemanager.ha.id</name>

<value>rm1</value>

</property>

<property>

<name>yarn.resourcemanager.hostname.rm1</name>

<value>hadoop01</value>

</property>

<property>

<name>yarn.resourcemanager.hostname.rm2</name>

<value>hadoop02</value>

</property>

<property>

<name>yarn.resourcemanager.recovery.enabled</name>

<value>true</value>

</property>

<property>

<name>yarn.resourcemanager.store.class</name>

<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>

</property>

<property>

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

<value>hadoop01:2190,hadoop02:2190,hadoop03:2190,hadoop04:2190,hadoop05:2190,</value>

</property>

<property>

<name>yarn.resourcemanager.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23140</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23130</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.https.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23189</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23188</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23125</value>

</property>

<property>

<name>yarn.resourcemanager.admin.address.rm1</name>

<value>${yarn.resourcemanager.hostname.rm1}:23141</value>

</property>

<property>

<name>yarn.resourcemanager.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23140</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23130</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.https.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23189</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23188</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23125</value>

</property>

<property>

<name>yarn.resourcemanager.admin.address.rm2</name>

<value>${yarn.resourcemanager.hostname.rm2}:23141</value>

</property>

<property>

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

                <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>

        </property>

        <property>

                <name>yarn.scheduler.fair.allocation.file</name>

                <value>${yarn.home.dir}/etc/hadoop/fairscheduler.xml</value>

        </property>

        <property>

                <name>yarn.nodemanager.local-dirs</name>

                <value>/data/hadoop/mydata/yarn_local</value>

        </property>

        <property>

                <name>yarn.nodemanager.log-dirs</name>

                <value>/data/hadoop/mydata/yarn_log</value>

        </property>

        <property>

                <name>yarn.nodemanager.remote-app-log-dir</name>

                <value>/data/hadoop/mydata/yarn_remotelog</value>

        </property>

        <property>

                <name>yarn.app.mapreduce.am.staging-dir</name>

                <value>/data/hadoop/mydata/yarn_userstag</value>

        </property>

        <property>

                <name>mapreduce.jobhistory.intermediate-done-dir</name>

                <value>/data/hadoop/mydata/yarn_intermediatedone</value>

        </property>

        <property>

                <name>mapreduce.jobhistory.done-dir</name>

                <value>/data/hadoop/mydata/yarn_done</value>

        </property>

        <property>

                <name>yarn.log-aggregation-enable</name>

                <value>true</value>

        </property>

        <property>

                <name>yarn.nodemanager.resource.memory-mb</name>

                <value>2048</value>

        </property>

        <property>

                <name>yarn.nodemanager.vmem-pmem-ratio</name>

                <value>4.2</value>

        </property>

        <property>

                <name>yarn.nodemanager.resource.cpu-vcores</name>

                <value>2</value>

        </property>

        <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>

        <property>

                <description>Classpath for typical applications.</description>

                <name>yarn.application.classpath</name>

                <value>

                        $HADOOP_HOME/etc/hadoop,

                        $HADOOP_HOME/share/hadoop/common/*,

                        $HADOOP_HOME/share/hadoop/common/lib/*,

                        $HADOOP_HOME/share/hadoop/hdfs/*,

                        $HADOOP_HOME/share/hadoop/hdfs/lib/*,

                        $HADOOP_HOME/share/hadoop/mapreduce/*,

                        $HADOOP_HOME/share/hadoop/mapreduce/lib/*,

                        $HADOOP_HOME/share/hadoop/yarn/*,

                        $HADOOP_HOME/share/hadoop/yarn/lib/*

                </value>

        </property>

</configuration>

修改fairscheduler.xml文件

[root@hadoop01 hadoop]# vi fairscheduler.xml

<?xml version="1.0"?>

<allocations>

         <queue name="news">

                 <minResources>1024 mb, 1 vcores </minResources>

                 <maxResources>1536 mb, 1 vcores </maxResources>

                 <maxRunningApps>5</maxRunningApps>

                 <minSharePreemptionTimeout>300</minSharePreemptionTimeout>

                 <weight>1.0</weight>

                 <aclSubmitApps>root,yarn,search,hdfs</aclSubmitApps>

         </queue>

         <queue name="crawler">

                 <minResources>1024 mb, 1 vcores</minResources>

                 <maxResources>1536 mb, 1 vcores</maxResources>

         </queue>

         <queue name="map">

                 <minResources>1024 mb, 1 vcores</minResources>

                 <maxResources>1536 mb, 1 vcores</maxResources>

         </queue>

</allocations>

创建相关xml配置中目录

mkdir -p /data/hadoop/mydata/yarn

4.解压zookeeper并修改环境变量

[root@hadoop01 ~]# tar zxvf zookeeper-3.4.6.tar.gz

[root@hadoop01 ~]#mv zookeeper-3.4.6 /data/zookeeper

[root@hadoop01 ~]# vi /etc/profile

##zookeeper

export ZOOKEEPER_HOME=/data/zookeeper

export PATH=$PATH:$ZOOKEEPER_HOME/bin:$ZOOKEEPER_HOME/conf

[root@hadoop01 ~]# source /etc/profile

5.修改zookeeper配置文件

[root@hadoop01 ~]# cd /data/zookeeper/conf/

[root@hadoop01 conf]# cp zoo_sample.cfg zoo.cfg

[root@hadoop01 conf]# vi zoo.cfg

# 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=/data/hadoop/mydata/zookeeper

dataLogDir=/data/hadoop/mydata/zookeeperlog

# the port at which the clients will connect

clientPort=2190

server.1=hadoop01:2888:3888

server.2=hadoop02:2888:3888

server.3=hadoop03:2888:3888

server.4=hadoop04:2888:3888

server.5=hadoop05:2888:3888

# 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

创建目录

mkdir /data/hadoop/mydata/zookeeper

mkdir /data/hadoop/mydata/zookeeperlog

6.把配置hadoop、zookeeper文件目录到其他四台中

[root@hadoop01 ~]# scp -r /data/hadoop hadoop02:/data/

[root@hadoop01 ~]# scp -r /data/hadoop hadoop03:/data/

[root@hadoop01 ~]# scp -r /data/hadoop hadoop04:/data/

[root@hadoop01 ~]# scp -r /data/hadoop hadoop05:/data/

[root@hadoop01 ~]# scp -r /data/zookeeper hadoop02:/data/

[root@hadoop01 ~]# scp -r /data/zookeeper hadoop03:/data/

[root@hadoop01 ~]# scp -r /data/zookeeper hadoop04:/data/

[root@hadoop01 ~]# scp -r /data/zookeeper hadoop05:/data/

在hadoop02修改yarn-site.xml

[root@hadoop02 hadoop]# cd /data/hadoop/etc/hadoop/

把rm1修改成rm2

[root@hadoop02 hadoop]# vi yarn-site.xml

<name>yarn.resourcemanager.ha.id</name>

<value>rm2</value>

[root@hadoop01 ~]# vi /data/hadoop/mydata/zookeeper/myid

1

[root@hadoop02 ~]# vi /data/hadoop/mydata/zookeeper/myid

2

[root@hadoop03 ~]# vi /data/hadoop/mydata/zookeeper/myid

3

[root@hadoop04 ~]# vi /data/hadoop/mydata/zookeeper/myid

4

[root@hadoop05 ~]# vi /data/hadoop/mydata/zookeeper/myid

5

7、启动zookeeper

五台操作zkServer.sh start

[root@hadoop01 ~]# zkServer.sh start

 [root@hadoop01 ~]# zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /data/zookeeper/bin/../conf/zoo.cfg

Mode: follower

[root@hadoop03 ~]# zkServer.sh status

ZooKeeper JMX enabled by default

Using config: /data/zookeeper/bin/../conf/zoo.cfg

Mode: leader

You have new mail in /var/spool/mail/root

正常情况只有一台leader状态

8、格式化zookeeper集群

在hadoop机器执行命令

[root@hadoop01 ~]# hdfs zkfc -formatZK

9.启动journalnode进程

在每台启动（五台）

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./hadoop-daemon.sh start journalnode

10.格式化namenode

在hadoop01上执行命令

[root@hadoop01 ~]# hdfs namenode -format

11.启动namenode

在hadoop01执行命令

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./hadoop-daemon.sh start  namenode

12.将刚才格式化的namenode信息同步么备用namenode上

[root@hadoop01 ~]# hdfs namenode -bootstrapStandby

13.在hadoop02上启动namenode

[root@hadoop02 ~]# cd /data/hadoop/sbin/

[root@hadoop02  sbin]# ./hadoop-daemon.sh start  namenode

14.启动所有datanode

在每台执行这是根据slaves来的

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./hadoop-daemon.sh start  datanode

15.启动yarn

在hadoop01上执行命令

root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./start-yarn.sh

16.启动ZKFC

在hadoop01和hadoop02上启动

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./hadoop-daemon.sh start zkfc

17.启动成功结果

  

三、安装hbase HA

1.解压hbase修改配置文件

[root@hadoop01 ~]# tar zxvf hbase-1.0.2-bin.tar.gz

[root@hadoop01 ~]# mv hbase-1.0.2 /data/hbase

配置环境变量

[root@hadoop01 ~]# vi /etc/profile

##hbase

export HBASE_HOME=/data/hbase

export PATH=$PATH:$HBASE_HOME/bin

[root@hadoop01 ~]# source /etc/profile

[root@hadoop01 ~]# cd /data/hbase/conf/

[root@hadoop01 conf]# vi hbase-env.sh

# The java implementation to use.  Java 1.7+ required.

export JAVA_HOME="/opt/jdk"

# Extra Java CLASSPATH elements.  Optional.

#记得以下一定要配置,HMaster会启动不了

export HBASE_CLASSPATH=/data/hadoop/etc/hadoop

# Where log files are stored.  $HBASE_HOME/logs by default.

export HBASE_LOG_DIR=/data/hbase/logs

# Tell HBase whether it should manage it's own instance of Zookeeper or not.

export HBASE_MANAGES_ZK=false

修改hbase-site.xml

[root@hadoop01 conf]# vi hbase-site.xml

<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!--

/**

 *

 * Licensed to the Apache Software Foundation (ASF) under one

 * or more contributor license agreements.  See the NOTICE file

 * distributed with this work for additional information

 * regarding copyright ownership.  The ASF licenses this file

 * to you under the Apache License, Version 2.0 (the

 * "License"); you may not use this file except in compliance

 * with the License.  You may obtain a copy of the License at

 *

 *     http://www.apache.org/licenses/LICENSE-2.0

 *

 * Unless required by applicable law or agreed to in writing, software

 * distributed under the License is distributed on an "AS IS" BASIS,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * See the License for the specific language governing permissions and

 * limitations under the License.

 */

-->

<configuration>

       <property> 

             <name>hbase.rootdir</name> 

              <value>hdfs://cluster/hbase</value>

       </property> 

       <property> 

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

               <value>true</value> 

       </property> 

        <property>

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

              <value>/data/hbase/tmp</value>

       </property>

       <property>

                <name>hbase.master.port</name>

               <value>60000</value>

        </property>

       <property>

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

               <value>/data/hadoop/mydata/zookeeper</value>

        </property>

       <property> 

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

                <value>hadoop01,hadoop02,hadoop03,hadoop04,hadoop05</value> 

        </property> 

       <property>

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

                <value>2190</value>

       </property>

      <property>

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

                <value>120000</value>

      </property>

      <property>

               <name>hbase.regionserver.restart.on.zk.expire</name>

                <value>true</value>

        </property>

</configuration>

[root@hadoop01 conf]# vi regionservers

hadoop01

hadoop02

hadoop03

hadoop04

hadoop05

~             

创建文件目录

mkdir /data/hbase/tmp

增加backup-master

 [root@hadoop01 conf]# vi backup-masters

hadoop02

以上都配置完成

2、把文件传到其他服务器上

[root@hadoop01 conf]# scp -r /data/hbase hadoop02:/data/

[root@hadoop01 conf]# scp -r /data/hbase hadoop03:/data/

[root@hadoop01 conf]# scp -r /data/hbase hadoop04:/data/

[root@hadoop01 conf]# scp -r /data/hbase hadoop05:/data/

3.启动hbase

在hadoop01执行命令

[root@hadoop01 conf]# start-hbase.sh

4.启动结果

 

 

可以通过jps查看

[root@hadoop01 conf]# jps

2540 NodeManager

1686 QuorumPeerMain

2134 JournalNode

2342 DFSZKFailoverController

3041 HMaster

1933 DataNode

3189 HRegionServer

2438 ResourceManager

7848 Jps

1827 NameNode

以后启动过程

每台执行（五台）

[root@hadoop01 ~]# zkServer.sh start

在hadoop01启动

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./start-dfs.sh

[root@hadoop01 sbin]# ./start-yarn.sh

最后启动hbase

[root@hadoop01 sbin]# start-hbase.sh

关闭过程

先关闭hbase

stop-hbase.sh

在hadoop01关闭

[root@hadoop01 ~]# cd /data/hadoop/sbin/

[root@hadoop01 sbin]# ./stop-yarn.sh

[root@hadoop01 sbin]# ./stop-dfs.sh