hadoop集群HA搭建(HADOOP配置 ubuntu18.04-live-server)

hadoop 集群HA搭建-基础配置

eg: 版本3.2.2
安装HA集群前请确认已安装zookeeper集群配置SSH无密钥登陆

安装 java jdk

  1. 添加环境变量 sudo vim /etc/profile
    # <<<<<< java start
    export JAVA_HOME=/home/hadoop/jdk1.8.0_291
    # >>>>>> java end
    # <<<<<< hadoop start
    export HADOOP_INSTALL=/home/hadoop/hadoop-3.2.2
    export HADOOP_CONF_DIR=$HADOOP_INSTALL/etc/hadoop
    export YARN_CONFIG_DIR=$HADOOP_INSTALL/etc/hadoop
    # >>>>>> hadoop end
    
  2. 添加java软链接到/bin/java
    sudo ln -s /home/hadoop/jdk1.8.0_291/bin/java /bin/java
    
  3. 配置$HADOOP_HOME/etc/hadoop/hadoop-env.sh
    JAVA_HOME=/home/hadoop/jdk1.8.0_291
    
  4. 使配置文件生效
    sudo source /etc/profile
    

配置HADOOP配置文件

  1. $HADOOP_HOME/etc/hadoop/core-site.xml
    <!-- ha配置 -->
    <property>
      <name>fs.defaultFS</name>
      <value>hdfs://mycluster</value>
    </property>
    <property>
      <name>hadoop.tmp.dir</name>
      <value>file:/home/hadoop/hadoop-3.2.2/tmp</value>
      <description>Abase for other temporary directories.</description>
    </property>
    <!-- ha配置 -->
    <property>
      <name>dfs.journalnode.edits.dir</name>
      <value>file:/home/hadoop/hadoop-3.2.2/data/journalnode</value>
    </property>
    <property>
      <name>ha.zookeeper.quorum</name>
      <value>master:2181,node1:2181,node2:2181</value>
    </property>
    
  2. 配置$HADOOP_HOME/etc/hadoop/hdfs-site.xml
    <property>
      <name>dfs.replication</name>
      <value>2</value>
    </property>
    <property>
      <name>dfs.namenode.name.dir</name>
      <value>file:/home/hadoop/hadoop-3.2.2/tmp/dfs/name</value>
    </property>
    <property>
      <name>dfs.datanode.data.dir</name>
      <value>file:/home/hadoop/hadoop-3.2.2/tmp/dfs/data</value>
    </property>
    <!-- ha配置 -->
    <property>
      <name>dfs.permissions.enabled</name>
      <value>false</value>
    </property>
    <property>
      <name>dfs.permissions</name>
      <value>false</value>
    </property>
    <property>
      <name>dfs.nameservices</name>
      <value>mycluster</value>
    </property>
    <property>
      <name>dfs.ha.namenodes.mycluster</name>
      <value>master,node1,node2</value>
    </property>
    <property>
      <name>dfs.namenode.rpc-address.mycluster.master</name>
      <value>master:8082</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.master</name>
      <value>master:9870</value>
    </property>
    <property>
      <name>dfs.namenode.rpc-address.mycluster.node1</name>
      <value>node1:8082</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.node1</name>
      <value>node1:9870</value>
    </property>
    <property>
      <name>dfs.namenode.rpc-address.mycluster.node2</name>
      <value>node2:8082</value>
    </property>
    <property>
      <name>dfs.namenode.http-address.mycluster.node2</name>
      <value>node2:9870</value>
    </property>
    <property>
      <name>dfs.namenode.shared.edits.dir</name>
      <value>qjournal://node1:8485;node2:8485;master:8485/mycluster</value>
    </property>
    <property>
      <name>dfs.client.failover.proxy.provider.mycluster</name>
      <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
    </property>
    <!-- zookeeper配置 -->
    <property>
      <name>dfs.ha.automatic-failover.enabled</name>
      <value>true</value>
    </property>
    <property>
      <name>dfs.ha.automatic-failover.enabled.mycluster</name>
      <value>true</value>
    </property>
    <!-- 隔离:同一时刻只能有一台服务器对外响应 -->
    <property>
      <name>dfs.ha.fencing.methods</name>
      <value>sshfence</value>
    </property>
    <property>
      <name>dfs.ha.fencing.ssh.private-key-files</name>
      <value>/home/bigdata/.ssh/id_rsa</value>
    </property>
    <property>
      <name>dfs.datanode.max.xcievers</name>
      <value>4096</value>
    </property>
    
  3. 配置$HADOOP_HOME/etc/hadoop/mapred-site.xml
    <property>
      <name>mapreduce.framework.name</name>
      <value>yarn</value>
    </property>
    <property>
      <name>mapreduce.jobhistory.address</name>
      <value>master:10020</value>
    </property>
    <property>
      <name>mapreduce.jobhistory.webapp.address</name>
      <value>master:19888</value>
    </property>
    <property>
      <name>yarn.app.mapreduce.am.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
    <property>
      <name>mapreduce.map.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
      <property>
      <name>mapreduce.reduce.env</name>
      <value>HADOOP_MAPRED_HOME=${HADOOP_HOME}</value>
    </property>
    
  4. 配置$HADOOP_HOME/etc/hadoop/yarn-site.xml
    <property>
      <name>yarn.resourcemanager.hostname</name>
      <value>master</value>
    </property>
    <property>
      <name>yarn.nodemanager.aux-services</name>
      <value>mapreduce_shuffle</value>
    </property>
    
  5. 复制文件至从节点中
    scp -r /home/hadoop/hadoop-3.2.2 hadoop@node1:/home/hadoop/
    scp -r /home/hadoop/hadoop-3.2.2 hadoop@node2:/home/hadoop/
    

执行初始化namenode

  1. 存在缓存文件与日志时就删除原数据(所有主机)
    目录:/tmp 系统缓存目录下与hadoop相关的文件以及目录
    目录:$HADOOP_HOME hadoop安装目录下的logs和tmp两个目录
  2. 启动jouranlnode
    $HADOOP_HOME/sbin/hadoop-daemons.sh start journalnode
    
  3. 格式化 namenode
    $HADOOP_HOME/sbin/hdfs namenode -format
    
  4. 启动 namenode
    $HADOOP_HOME/sbin/hadoop-daemon.sh start namenode
    
  5. 同步master主机namenode到从主机上,以下命令在从主机上运行
    $HADOOP_HOME/sbin/hdfs namenode -bootstrapStandby
    
  6. 启动zookeeper集群,以下命令在各个节点以及主节点上执行
    zkServer.sh start
    
  7. 格式化zkfc
    hdfs zkfc -formatZK
    
  8. 停止namenode与journalnode
    hadoop-daemon.sh stop namenode
    hadoop-daemons.sh stop journalnode
    
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