1.修改主機名及hosts檔案

10.205.22.185 nn1 （主）作用namenode,resourcemanager,datanode,JournalNode,zk,zkfc(hive,sqoop可選)

10.205.22.186 nn2 （備）作用namenode,resourcemanager,datanode,JournalNode,zk,zkfc

10.205.22.187 dn1      作用datanode,JournalNode,zk

1.1配置ssh免密碼登入

主節點能免密碼登入各個從節點

ssh nn1

ssh nn2

ssh dn1

2. 安裝jdk1.8和zookeeper（可根據需求決定是否安裝hive,sqoop）

2.1修改profile檔案，配置環境變數

export JAVA_HOME=/usr/java/jdk1..0_65

export JRE_HOME=/usr/java/jdk1..0_65/jre

export HADOOP_HOME=/app/hadoop-2.7.

export HIVE_HOME=/app/hive

export SQOOP_HOME=/app/sqoop

export ZOOKEEPER_HOME=/app/zookeeper-3.4.

export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$ZOOKEEPER_HOME/bin:$HIVE_HOME/bin:$SQOOP_HOME/bin:$MAVEN_HOME/bin

export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib

ulimit -SHn

2.2 修改zookeeper配置檔案zoo.cfg

新增：

dataDir=/home/zookeeper
server.= nn1::

server.= nn2::

server.= dn1::

2.3 修改zookeeper的ID號

/home/zookeeper/myid

1　　#nn1伺服器myid修改為1

2　　#nn2伺服器myid修改為2

3　　#nn3伺服器myid修改為3

3.安裝hadoop-2.7.1，修改配置檔案

建立相應的目錄

mkdir -p /home/hadoop/tmp

mkdir -p /home/hadoop/hdfs/data

mkdir -p /home/hadoop/journal

mkdir -p /home/hadoop/name

修改slaves檔案

nn1

nn2

dn1

修改hadoop-env.sh檔案

export JAVA_HOME=/usr/java/jdk1..0_65
export HADOOP_LOG_DIR=/home/hadoop/log/hadoop

修改hadoop日誌記錄檔案log4j.properties

hadoop.log.dir=/home/hadoop/log/hadoop

定義yarn日誌yarn-env.sh

YARN_LOG_DIR="/home/hadoop/log/yarn"

3.1配置hdfs-site.xml

<configuration>

        <property>

               <name>dfs.nameservices</name>

               <value>masters</value>

        </property>

        <property>

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

               <value>nn1,nn2</value>

        </property>

        <property>

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

               <value>nn1:9000</value>

        </property>

        <property>

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

               <value>nn1:50070</value>

        </property>

        <property>

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

               <value>nn2:9000</value>

        </property>

        <property>

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

               <value>nn2:50070</value>

        </property>

        <property>

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

               <value>file:/home/hadoop/hdfs/data</value>

        </property>

        <property>

       　　　　<name>dfs.replication</name>

              <value>2</value>

        </property>

        <property>

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

               <value>file:/home/hadoop/name</value>

        </property>

        <property>

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

               <value>qjournal://nn1:8485;nn2:8485;dn1:8485/masters</value>

        </property>

        <property>

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

               <value>/home/hadoop/journal</value>

        </property>

        <property>

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

               <value>true</value>

        </property>

        <property>

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

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

        </property>

        <property>

               <name>dfs.ha.fencing.ssh.connect-timeout</name>

               <value>30000</value>

        </property>

</configuration>

3.2配置core-site.xml檔案

<configuration>

   <property>

       <name>fs.defaultFS</name>

       <value>hdfs://masters</value>

   </property>

   <property>

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

       <value>/home/hadoop/tmp</value>

   </property>

   <property>

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

       <value>nn1:2181,nn2:2181,dn1:2181</value>

   </property>

   <property>

       <name>io.compression.codecs</name>

       <value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,com.hadoop.compression.lzo.LzoCodec,com.hadoop.compression.lzo.LzopCodec,org.apache.hadoop.io.compress.BZip2Codec</value>

   </property>

   <property>

       <name>io.compression.codec.lzo.class</name>

       <value>com.hadoop.compression.lzo.LzoCodec</value>

   </property>

</configuration>

3.3配置yarn-site.xml檔案

<configuration>

    <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.automatic-failover.enabled</name>

       <value>true</value>

    </property>

    <property>

       <name>yarn.resourcemanager.ha.automatic-failover.embedded</name>

       <value>true</value>

    </property>

    <property>

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

       <value>nn1</value>

    </property>

    <property>

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

       <value>nn2</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>nn1:,nn2:,dn1:</value>

    </property>

    <property>

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

       <value>nn1:</value>

    </property>

    <property>

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

       <value>nn2:</value>

    </property>

    <property>

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

       <value>nn1:</value>

    </property>

    <property>

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

       <value>nn2:</value>

    </property>

    <property>

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

       <value>nn1:</value>

    </property>

    <property>

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

       <value>nn2:</value>

    </property>

    <property>

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

       <value>nn1:</value>

    </property>

    <property>

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

       <value>nn2:</value>

    </property>

    <property>

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

       <value>nn1:</value>

    </property>

    <property>

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

       <value>nn2:</value>

    </property>

　　<property>

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

　　　 <value>/home/hadoop/log/mapred</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>

       <name>yarn.client.failover-proxy-provider</name>

       <value>org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider</value>

    </property>

</configuration>

3.4配置mapred-site.xml檔案

<configuration>

   <property>

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

       <value>yarn</value>

   </property>

   <property>

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

       <value>nn1:10020</value>

   </property>

   <property>

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

       <value>nn2:19888</value>

   </property>

   <property>

       <name>mapred.compress.map.output</name>

       <value>true</value>

   </property>

   <property>

       <name>mapred.map.output.compression.codec</name>

       <value>com.hadoop.compression.lzo.LzoCodec</value>

   </property>

   <property>

       <name>mapred.child.env</name>

       <value>LD_LIBRARY_PATH=/usr/local/lzo/lib</value>

   </property>

</configuration>

3.5同步hadoop到各個節點，並配置上述相關檔案

4.啟動服務

4.1在各個節點啟動zookeeper，檢視狀態

zkServer.sh start

zkServer.sh status

在主節點格式化zookeeper

hdfs zkfc -formatZK

4.2在三個journalnode節點啟日誌程式

hadoop-daemon.sh start journalnode

4.3在主namenode節點格式化hadoop

hadoop namenode -format

4.4在主namenode節點啟動namenode程序

hadoop-daemon.sh start namenode

4.5在備namenode節點執行命令，把備namenode節點的目錄格式化並把元資料從主namenode節點同步過來

hdfs namenode -bootstrapStandby

hadoop-daemon.sh start namenode 啟動namenode

yarn-daemon.sh start resourcemanager 啟動resourcemanager

4.6啟動其他相關服務

start-dfs.sh

start-yarn.sh

4.7 檢視高可用狀態

hdfs haadmin -getServiceState nn1/nn2 檢視namenode

yarn rmadmin -getServiceState rm1/rm2 檢視resourcemanager

4.8登入web檢視狀態

http://nn1:50070

http://nn1:8088