hadoop在CentOS下的安装配置

• 版本：CentOS-6.8-x86_64-minimal，hadoop2.6.4，jdk1.7.0
• 首先把jdk、hadoop压缩包下载发送到CentOS下并解压

下载发送不多赘述，解压命令tar -zxvf 压缩包

mv 原文件名 新文件名

（注意空格）

• 先配置jdk

1. 进入jdk目录 pwd 查看当前目录复制备用/apps/jdk1.7.0_25
2. 配置环境变量

vi ~/.bash_profile

JAVA_HOME=/apps/jdk1.7.0_25
PATH=$PATH:$HOME/bin:$JAVA_HOME/bin

source ~/.bash_profile

• 关闭防火墙，做好ssh免密登录
  • 关闭防火墙
    • service iptables stop
    • chkconfig iptables off
    • ssh-keygen -t rsa
  • ssh免密登录
    • master： cat /root/.ssh/id_rsa.pub >>/root/.ssh/authorized_keys
    • master：scp /root/.ssh/authorized_keys @slave1:/root/.ssh/authorized_keys
    • slave1：cat /root/.ssh/id_rsa.pub >>/root/.ssh/authorized_keys
    • slave1：scp /root/.ssh/authorized_keys @slave2:/root/.ssh/authorized_keys
    • slave2：cat /root/.ssh/id_rsa.pub >>/root/.ssh/authorized_keys
    • slave2：scp /root/.ssh/authorized_keys @master:/root/.ssh/authorized_keys
    • master：scp /root/.ssh/authorized_keys @slave1:/root/.ssh/authorized_keys
    • slave2：scp /root/.ssh/authorized_keys @slave2:/root/.ssh/authorized_keys
• 再配置hadoop

1. 环境变量vi ~/.bash_profile

   HADOOP_HOME=/apps/hadoop-2.6.4
   PATH=$PATH:$HOME/bin:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

   source ~/.bash_profile

2. 配置运行环境
   • core-site.xml

     • <property>
       <name>fs.defaultFS</name>
       <value>hdfs://master:9000</value>
       </property>

   • hdfs-site.xml

     • <property>
       <name>dfs.replication</name>
       <value>3</value>
       </property>

       <property>
       <name>dfs.namenode.name.dir</name>
       <value>/app/hadoop/dfs/name</value>
       </property>

       <property>
       <name>dfs.datanode.data.dir</name>
       <value>/app/hadoop/dfs/data</value>
       </property>

       <property>
       <name>dfs.secondary.http.address</name>
       <value>slave2:50090</value>
       </property>

       <property>
       <name>dfs.namenode.checkpoint.dir</name>
       <value>/app/hadoop/dfs/namesecondary</value>
       </property>

   • hadoop-env.sh
     • export JAVA_HOME=/apps/jdk1.7.0_25
   • yarn-site.xml

     • <property>
       <name>yarn.nodemanager.aux-services</name>
       <value>mapreduce_shuffle</value>
       </property>

       <property>
       <name>yarn.resourcemanager.hostname</name>
       <value>master</value>
       </property>

       mapreduce-site.xml
       <property>
       <name>mapreduce.framework.name</name>
       <value>yarn</value>
       </property>

     • slaves
       • 将原有内容替换为从节点主机名
3. 将配置完成的jdk、hadoop发送到另外两台主机上
   • master：scp -r apps/ @slave1:/apps/
   • master：scp -r apps/ @slave2:/apps/
   • master：scp ~/.bash_profile @slave1:~/.bash_profile
   • master：scp ~/.bash_profile @slave2:~/.bash_profile
   • slave1： source ~/.bash_profile
   • slave2： source ~/.bash_profile

　　hadoop集群配置完成

格式化namenode

　　hadoop namenode -format

启动所有节点

　　start-all.sh