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大数据基石Hadoop3.x 集群安装

Posted on 2022-07-06 11:38  CN.programmer.Luxh  阅读(234)  评论(0)  编辑  收藏  举报

机器规划

环境准备

安装JDK
1. 在所有机器上安装jdk8
2. 配置好环境变量

vi /etc/profile

JAVA_HOME=/usr/local/jdk1.8.0_152
PATH=$PATH:$JAVA_HOME/bin

export JAVA_HOME
export PATH

source /etc/profile
配置免密登录
1）首先在node-2机器上操作
2）生成密钥对 ssh-keygen -t rsa
3）进入/root/.ssh目录，将公钥复制到其他机器
ssh-copy-id node-2
ssh-copy-id node-3
ssh-copy-id node-4

4) 在node-3和snode-4上分别执行上述步骤
关闭防火墙和selinux
1）关闭防火墙
systemctl stop firewalld
systemctl disable firewalld

2）关闭selinux
vi /etc/selinux/config  设置SELINUX=disabled

3）重启系统 reboot

4）在每台机器执行上述操作

安装Hadoop

1.创建目录，在node-2、node-3、node-4上创建下述目录

/mnt/data/hadoop/pid
/mnt/data/hadoop/tmp
/mnt/data/hadoop/dfs/name
/mnt/data/hadoop/dfs/data
/mnt/data/hadoop/dfs/namesecondary
/mnt/data/hadoop/dfs/edits
/mnt/data/hadoop/logs

2.将 hadoop-3.2.2.tar.gz解压到 /opt/software/hadoop-3.2.2

3.配置Hadoop环境变量, 在node-2、node-3、node-4上分别执行下述配置

vi /etc/profile 追加以下内容

  HADOOP_HOME=/opt/software/hadoop-3.2.2
  HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
  HADOOP_CLASSPATH=`hadoop classpath`

  PATH=$PATH:$HADOOP_HOME/bin

  export HADOOP_CONF_DIR
  export HADOOP_CLASSPATH
  export HADOOP_HOME
  export PATH

使配置生效 source /etc/profile

4.配置hadoop-env.sh

export JAVA_HOME=/opt/software/jdk1.8.0_152
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root
export HADOOP_PID_DIR=/mnt/data/hadoop/pid
export HADOOP_LOG_DIR=/mnt/data/hadoop/logs

5.配置core-site.xml

<configuration>
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://node-2:9870</value>
    </property>
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/mnt/data/hadoop/tmp</value>
    </property>
</configuration>

6.配置hdfs-site.xml

<configuration>
      <property>
              <name>dfs.namenode.secondary.http-address</name>
              <value>node-3:9868</value>
      </property>
      <property>
              <name>dfs.replication</name>
              <value>2</value>
      </property>
      <property>
              <name>dfs.namenode.name.dir</name>
              <value>/mnt/data/hadoop/dfs/name</value>
      </property>
      <property>
              <name>dfs.datanode.data.dir</name>
              <value>/mnt/data/hadoop/dfs/data</value>
      </property>
       <property>
             <name>dfs.namenode.checkpoint.dir</name>
             <value>/mnt/data/hadoop/dfs/namesecondary</value>
      </property>
      <property>
             <name>dfs.namenode.checkpoint.edits.dir</name>
             <value>/mnt/data/hadoop/dfs/edits</value>
      </property>
      <property>
             <name>dfs.datanode.handler.count</name>
             <value>30</value>
      </property>
       <property>
             <name>dfs.namenode.handler.count</name>
             <value>30</value>
      </property>
</configuration>

7.配置mapred-site.xml

<configuration>
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
</configuration>

8.配置yarn-site.xml

<configuration>

    <property>
        <name>yarn.resourcemanager.scheduler.address</name>
        <value>node-2:8030</value>
    </property>
    <property>
        <name>yarn.resourcemanager.resource-tracker.address</name>
        <value>node-2:8031</value>
    </property>
	 <property>
        <name>yarn.resourcemanager.address</name>
        <value>node-2:8032</value>
    </property>
   
    <property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
    </property>
    <property>
        <name>yarn.log-aggregation-enable</name>
        <value>true</value>
    </property>
     <property>
        <name>yarn.log.server.url</name>
        <value>http://node-4:19888/jobhistory/logs</value>
    </property>
    <property>
        <name>yarn.log-aggregation.retain-seconds</name>
        <value>604800</value>
    </property>
     <property>
        <name>yarn.nodemanager.remote-app-log-dir</name>
        <value>/yarn</value>
    </property>
     <property>
        <name>yarn.nodemanager.remote-app-log-dir-suffix</name>
        <value>logs</value>
    </property>

</configuration>

9.配置workers

vi workers

node-3
node-4

10.配置log4j.properties

hadoop.log.dir=/mnt/data/hadoop/logs

11.复制 /opt/software/hadoop-3.2.2 到node-3和node-4

scp -r /opt/software/hadoop-3.2.2 root@node-3:/opt/software/hadoop-3.2.2
scp -r /opt/software/hadoop-3.2.2 root@node-4:/opt/software/hadoop-3.2.2

格式化和启动Hadoop

1.格式化，在node-2上执行

bin/hdfs namenode -format

2.启动hdfs, 在node-2上执行

sbin/start-dfs.sh

停止命令:sbin/stop-dfs.sh

3.启动yarn, 在node-2上执行

sbin/start-yarn.sh

停止命令:sbin/stop-yarn.sh
  1. 启动jobhistory,在node-4上执行
bin/mapred --daemon start historyserver

停止命令:bin/mapred --daemon stop historyserver

页面访问

  1. HDFS NameNode: http://node-2:9870/

  2. YARN ResourceManager: http://node-2:8088/

  3. MapReduce JobHistory Server: http://node-4:19888/