1.下载、上传、解压，添加环境变量。

tar zxf /opt/software/hadoop-2.7.6.tar.gz -C /usr/loC++al/src

2.Java_HOME

hadoop-env.sh ：修改JAVA_HOME

export JAVA_HOME=/usr/local/src/jdk1.8.0_181

3.NameNode

hdfs-site.xml ：namenode命令的存放路径； namenode的数据存放路径；设置备份数

<configuration>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/usr/local/src/hadoop/dfs/name</value>
   </property>
  <property>
    <name>dfs.datanode.data.dir</name>   
    <value>file:/usr/local/src/hadoop/dfs/data</value>
   </property>
  <property>
    <name>dfs.replication</name>
    <value>3</value>
   </property>
</configuration>

4.HDFS

core-site.xml ：hdfs的访问地址和端口；设置缓存大小；临时文件存放路径

<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://master:9000</value>
   </property>
  <property>
    <name>io.file.buffer.size</name>
    <value>131072</value>
   </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>file:/usr/local/src/hadoop/tmp</value>
   </property>

</configuration>

5.MapReduce

cp mapred-site.xml.template mapred-site.xml
mapred-site.xml ：设置MapReduce的资源管理器；设置MapReduce执行历史存放路径；MapReduce提供的web访问地址

<configuration>
  <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>
</configuration>

6.YARN

yarn-site ：设置yarn为客户端提供服务时进入的地址和端口；设置yarn访问MapReduce作业的进入端口；yarn汇报存活的发送端口；yarn接收对管理员命令的进入端口；yarn提供Web查看的端口；yarn允许通过nodemanager节点自定义服务

<configuration>
  <property>
    <name>yarn.resourcemanager.address</name>
    <value>master:8032</value>
   </property>
  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>master:8030</value>
   </property>
  <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>master:8031</value>
   </property>
  <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>master:8033</value>
   </property>
  <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>master:8080</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>
</configuration>

7.masters

vi masters

192.168.28.130

8.slavers

vi slaves

192.168.28.130
192.168.28.131
192.168.28.132

9.分发、添加环境变量

scp -r /usr/local/src/hadoop-2.7.6 root@slaver1:/usr/local/src/
scp -r /usr/local/src/hadoop-2.7.6 root@slaver2:/usr/local/src/

10.初始化

hdfs namenode -format

11.启动集群

start-all.sh

start-dfs.sh ; start-yarn.sh

ps：

<configuration>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/usr/local/src/hadoop/dfs/name</value>
   </property>
  <property>
    <name>dfs.datanode.data.dir</name>   
    <value>file:/usr/local/src/hadoop/dfs/data</value>
   </property>
  <property>
    <name>dfs.replication</name>
    <value>3</value>
   </property>
</configuration>
0

pps:
查看Java环境变量所指位置： echo $JAVA_HOME
打tar包: tar zcvf etc.tar.gz etc
标签里不能有空格，否则节点启动不起来，会报这个错误：Incorrect configuration: namenode address dfs.namenode.servicerpc-address or dfs.namenode.rpc-address is not configured.Starting namenodes on []

<configuration>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/usr/local/src/hadoop/dfs/name</value>
   </property>
  <property>
    <name>dfs.datanode.data.dir</name>   
    <value>file:/usr/local/src/hadoop/dfs/data</value>
   </property>
  <property>
    <name>dfs.replication</name>
    <value>3</value>
   </property>
</configuration>
1

重做以前先关闭所有节点 stop-all.sh stop-dfs.sh ; stop-yarn.sh
slaves不能关闭master的所有节点

ppps：
重新格式化：rm -rf /usr/local/src/hadoop;hdfs namenode -format

下载链接：
配置文件