centos7安装hadoop 单机版

1.解压

（1）将hadoop压缩包复制到/opt/software路径下

（2）解压hadoop到/opt/module目录下

[root@kb135 software]# tar -zxvf hadoop-3.1.3.tar.gz -C /opt/module/

（3）修改hadoop属主和属组

[root@kb135 module]# chown -R root:root ./hadoop-3.1.3/

2.配置环境变量

[root@kb135 module]# vim /etc/profile

# HADOOP_HOME

export HADOOP_HOME=/opt/soft/hadoop313

export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HADOOP_HOME/lib

export HDFS_NAMENODE_USER=root

export HDFS_DATANODE_USER=root

export HDFS_SECONDARYNAMENODE_USER=root

export HDFS_JOURNALNODE_USER=root

export HDFS_ZKFC_USER=root

export YARN_RESOURCEMANAGER_USER=root

export YARN_NODEMANAGER_USER=root

export HADOOP_MAPRED_HOME=$HADOOP_HOME

export HADOOP_COMMON_HOME=$HADOOP_HOME

export HADOOP_HDFS_HOME=$HADOOP_HOME

export HADOOP_YARN_HOME=$HADOOP_HOME

export HADOOP_INSTALL=$HADOOP_HOME

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

export HADOOP_LIBEXEC_DIR=$HADOOP_HOME/libexec

export JAVA_LIBRARY_PATH=$HADOOP_HOME/lib/native

export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

修改完之后[root@kb135 module]# source /etc/profile

3.在hadoop目录创建data目录

[root@kb135 module]# cd ./hadoop-3.1.3/

创建目录data

[root@kb135 hadoop-3.1.3]# mkdir ./data

4.修改配置文件

进入/opt/module/hadoop-3.1.3/etc/hadoop目录，查看目录下的文件，配置几个必要的文件

（1）配置core-site.xml

[root@kb135 hadoop]# vim ./core-site.xml

<configuration>

    <property>

      <name>fs.defaultFS</name>

      <value>hdfs://kb135:9000</value>

    </property>

    <property>

      <name>hadoop.tmp.dir</name>

      <value>/opt/module/hadoop-3.1.3/data</value>

    </property>

    <property>

      <name>hadoop.http.staticuser.user</name>

      <value>root</value>

    </property>

    <property>

      <name>io.file.buffer.size</name>

      <value>131073</value>

    </property>

    <property>

      <name>hadoop.proxyuser.root.hosts</name>

      <value>*</value>

    </property>

    <property>

      <name>hadoop.proxyuser.root.groups</name>

      <value>*</value>

    </property>

 </configuration>

（2）配置hadoop-env.sh

[root@kb135 hadoop]# vim ./hadoop-env.sh

修改第54行

export JAVA_HOME=/opt/module/jdk1.8.0_381

（3）配置hdfs-site.xml

[root@kb135 hadoop]# vim ./hdfs-site.xml

<configuration>

   <property>

     <name>dfs.replication</name>

     <value>1</value>

   </property>

   <property>

     <name>dfs.namenode.name.dir</name>

     <value>/opt/module/hadoop-3.1.3/data/dfs/name</value>

   </property>

   <property>

     <name>dfs.datanode.data.dir</name>

     <value>/opt/module/hadoop-3.1.3/data/dfs/data</value>

   </property>

   <property>

     <name>dfs.permissions.enabled</name>

     <value>false</value>

   </property>

</configuration>

（4）配置mapred-site.xml

[root@kb135 hadoop]# vim ./mapred-site.xml

<configuration>

    <property>

      <name>mapreduce.framework.name</name>

      <value>yarn</value>

    </property>

    <property>

      <name>mapreduce.jobhistory.address</name>

      <value>kb135:10020</value>

    </property>

    <property>

      <name>mapreduce.jobhistory.webapp.address</name>

      <value>kb135:19888</value>

    </property>

    <property>

      <name>mapreduce.map.memory.mb</name>

      <value>2048</value>

    </property>

    <property>

      <name>mapreduce.reduce.memory.mb</name>

      <value>2048</value>

    </property>

    <property>

      <name>mapreduce.application.classpath</name>

      <value>/opt/module/hadoop-3.1.3/etc/hadoop:/opt/module/hadoop-3.1.3/share/hadoop/common/*:/opt/module/hadoop-3.1.3/share/hadoop/common/lib/*:/opt/module/hadoop-3.1.3/share/hadoop/hdfs/*:/opt/module/hadoop-3.1.3/share/hadoop/hdfs/lib/*:/opt/module/hadoop-3.1.3/share/hadoop/mapreduce/*:/opt/module/hadoop-3.1.3/share/hadoop/mapreduce/lib/*:/opt/module/hadoop-3.1.3/share/hadoop/yarn/*:/opt/module/hadoop-3.1.3/share/hadoop/yarn/lib/*</value>

    </property>

</configuration>

（5）配置yarn-site.xml

[root@kb135 hadoop]# vim ./yarn-site.xml

<configuration>

   <property>

     <name>yarn.resourcemanager.connect.retry-interval.ms</name>

     <value>20000</value>

   </property>

   <property>

     <name>yarn.resourcemanager.scheduler.class</name>

     <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>

   </property>

   <property>

     <name>yarn.nodemanager.localizer.address</name>

     <value>kb135:8040</value>

   </property>

   <property>

     <name>yarn.nodemanager.address</name>

     <value>kb135:8050</value>

   </property>

   <property>

     <name>yarn.nodemanager.webapp.address</name>

     <value>kb135:8042</value>

   </property>

  <property>

     <name>yarn.nodemanager.aux-services</name>

     <value>mapreduce_shuffle</value>

   </property>

   <property>

     <name>yarn.nodemanager.local-dirs</name>

     <value>/opt/module/hadoop-3.1.3/yarndata/yarn</value>

   </property>

   <property>

     <name>yarn.nodemanager.log-dirs</name>

     <value>/opt/module/hadoop-3.1.3/yarndata/log</value>

   </property>

   <property>

     <name>yarn.nodemanager.vmem-check-enabled</name>

     <value>false</value>

   </property>

</configuration>

（6）配置workers

[root@kb135 hadoop]# vim ./workers

修改为kb135

5.初始化hadoop

进入/opt/module/hadoop-3.1.3/bin路径

[root@kb135 bin]# hadoop namenode -format

6.设置免密登录

[root@kb135 ~]# ssh-keygen -t rsa -P ""

[root@kb135 ~]# cat /root/.ssh/id_rsa.pub >> /root/.ssh/authorized_keys

[root@kb135 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub -p22 root@kb135

7.启动hadoop

[root@kb135 ~]# start-all.sh

查看进程

[root@kb135 ~]# jps

8.测试

网页中输入网址：http://192.168.142.135:9870/