hadoop-2.7.1基于QMJ高可用安装配置

时间：2021-07-19 03:16:15

1.修改主机名及hosts文件

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

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

10.205.22.187 dn1      作用datanode,JournalNode,zk

1.1配置ssh免密码登录

主节点能免密码登录各个从节点

ssh nn1

ssh nn2

ssh dn1

2. 安装jdk1.8和zookeeper（可根据需求决定是否安装hive,sqoop）

2.1修改profile文件，配置环境变量

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配置文件zoo.cfg

添加：

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

server.= nn2::

server.= dn1::

2.3 修改zookeeper的ID号

/home/zookeeper/myid

1　　#nn1服务器myid修改为1

2　　#nn2服务器myid修改为2

3　　#nn3服务器myid修改为3

3.安装hadoop-2.7.1，修改配置文件

创建相应的目录

mkdir -p /home/hadoop/tmp

mkdir -p /home/hadoop/hdfs/data

mkdir -p /home/hadoop/journal

mkdir -p /home/hadoop/name

修改slaves文件

nn1

nn2

dn1

修改hadoop-env.sh文件

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

修改hadoop日志记录文件log4j.properties

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

定义yarn日志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文件

<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文件

<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文件

<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到各个节点，并配置上述相关文件

4.启动服务

4.1在各个节点启动zookeeper，查看状态

zkServer.sh start

zkServer.sh status

在主节点格式化zookeeper

hdfs zkfc -formatZK

4.2在三个journalnode节点启日志程序

hadoop-daemon.sh start journalnode

4.3在主namenode节点格式化hadoop

hadoop namenode -format

4.4在主namenode节点启动namenode进程

hadoop-daemon.sh start namenode

4.5在备namenode节点执行命令，把备namenode节点的目录格式化并把元数据从主namenode节点同步过来

hdfs namenode -bootstrapStandby

hadoop-daemon.sh start namenode 启动namenode

yarn-daemon.sh start resourcemanager 启动resourcemanager

4.6启动其他相关服务

start-dfs.sh

start-yarn.sh

4.7 查看高可用状态

hdfs haadmin -getServiceState nn1/nn2 查看namenode

yarn rmadmin -getServiceState rm1/rm2 查看resourcemanager

4.8登录web查看状态

http://nn1:50070

http://nn1:8088

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