hadoop2 安装

下载

https://archive.apache.org/dist/hadoop/common/hadoop-2.7.2/

jdk 安装

https://blog.csdn.net/zhwyj1019/article/details/81103531

设置 新的用户

useradd hadoop
passwd hadoop

vim /etc/sudoers

设置  hostname 和  host

https://www.cnblogs.com/MWCloud/p/11346867.html

改变文件所属用户

sudo chown hadoop /sss

vim /etc/profile

JAVA_HOME=/opt/soft/jdk1.8.0_121
HADOOP_HOME=/opt/module/hadoop-2.7.2
PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
export JAVA_HOME PATH HADOOP_HOME

 source /etc/profile

hadoop101 hadoop102 hadoop103
DN            DN            DN
NM            NM            NM
NN            RM            2NN

配置  core-site.xml 

<!-- 指定HDFS中NameNode的地址 -->
<property>
<name>fs.defaultFS</name>
    <value>hdfs://hadoop101:9000</value>
</property>

<!-- 指定Hadoop运行时产生文件的存储目录 -->
<property>
    <name>hadoop.tmp.dir</name>
    <value>/opt/module/hadoop-2.7.2/data/tmp</value>
</property>

配置  hdfs-site.xml

<!-- 指定Hadoop辅助名称节点主机配置 -->
<property>
      <name>dfs.namenode.secondary.http-address</name>
      <value>hadoop103:50090</value>
</property>

配置  yarn-site.xml

<!-- reducer获取数据的方式 -->
<property>
        <name>yarn.nodemanager.aux-services</name>
        <value>mapreduce_shuffle</value>
</property>

<!-- 指定YARN的ResourceManager的地址 -->
<property>
        <name>yarn.resourcemanager.hostname</name>
        <value>hadoop103</value>
</property>

cp mapred-site.xml.template mapred-site.xml

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

在hadoop101  

运行  
hadoop namenode -format
显示
Storage directory /opt/module/hadoop-2.7.2/data/tmp/dfs/name has been successfully formatted.

在 hadoop101 上 运行 hadoop-daemon.sh start namenode
jps 查看 

在 hadoop101 ,hadoop102, hadoop103 上 都运行

hadoop-daemon.sh start datanode

在 hadoop103 上 运行

hadoop-daemon.sh start secondarynamenode

在 hadoop102 上启动
yarn-daemon.sh start resourcemanager

在 hadoop101 ,hadoop102, hadoop103 上 都运行

yarn-daemon.sh start nodemanager

停止  hadoop-daemon.sh stop datanode

访问

http://hadoop101:50070/

http://hadoop102:8088/

测试

hadoop fs -mkdir /angdh_input
hadoop fs -put hi /angdh_input/

测试 
cd 到
/opt/module/hadoop-2.7.2/share/hadoop/mapreduce

hadoop jar hadoop-mapreduce-examples-2.7.2.jar wordcount /angdh_input /angdh_output