Hadoop系列(二):Hadoop单节点部署

环境:CentOS 7

JDK: 1.7.0_80

hadoop:2.8.5

 hadoop(192.168.56.101)

配置基础环境

1. 测试环境可以直接关闭selinux和防火墙

2. 主机添加hosts记录

# vim /etc/hosts
192.168.56.101   hadoop

 3. 创建hadoop用户

# useradd hadoop
# passwd hadoop

 4. 添加免密登陆(如果不添加免密登陆,后面启动服务时候会提示输入密码)

# su - hadoop
$ ssh-keygen -t rsa
$ ssh-copy-id hadoop@localhost

 安装JDK

1. 卸载系统自带的openjdk

yum remove *openjdk*

 2. 安装JDK

JDK下载地址:https://www.oracle.com/technetwork/java/javase/downloads/java-archive-downloads-javase7-521261.html

# tar zxvf jdk1.7.0_80.tgz -C /usr/local/
# vim /etc/profile
#添加
export JAVA_HOME=/usr/local/jdk1.7.0_80
export JAVA_BIN=$JAVA_HOME/bin
export PATH=$PATH:$JAVA_HOME/bin
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH
# source /etc/profile
# java -version
java version "1.7.0_80"
Java(TM) SE Runtime Environment (build 1.7.0_80-b15)
Java HotSpot(TM) 64-Bit Server VM (build 24.80-b11, mixed mode)

部署Hadoop

在一台机器上配置,之后拷贝到其他节点主机

1. 安装Hadoop

# su - hadooop
$ wget https://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-2.8.5/hadoop-2.8.5.tar.gz
$ tar zxvf hadoop-2.8.5.tar.gz
$ mv hadoop-2.8.5 hadoop

#添加环境变量(每个节点都配置)
$ vim ~/.bash_profile
export HADOOP_HOME=/home/hadoop/hadoop
export HADOOP_INSTALL=$HADOOP_HOME
export HADOOP_MAPRED_HOME=$HADOOP_HOME
export HADOOP_COMMON_HOME=$HADOOP_HOME
export HADOOP_HDFS_HOME=$HADOOP_HOME
export YARN_HOME=$HADOOP_HOME
export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native
export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin
export PATH $ source ~/.bash_profile

 2. 配置Hadoop

配置文件在`hadoop/etc/hadoop`目录下

$ cd hadoop/etc/hadoop

#1. 修改core-site.xml
$ vim core-site.xml
<configuration>
  <property>
    <name>fs.default.name</name>
    <value>hdfs://hadoop:9000</value>
  </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>file:/home/hadoop/hadoop/tmp</value>
  </property>
</configuration>

# 2. 修改hdfs-site.xml
$ vim hdfs-site.xml
<configuration>
    <property>
    <name>dfs.replication</name>
    <value>2</value>
  </property>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:/home/hadoop/hadoop/tmp/dfs/name</value>
  </property>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>file:/home/hadoop/hadoop/tmp/dfs/data</value>
  </property>
  <property>
    <name>dfs.namenode.secondary.http-address</name>
    <value>hadoop:9001</value>
  </property>
</configuration>

# 3. 修改mapred-site.xml
$ cp  mapred-site.xml.template mapred-site.xml
$ vim mapred-site.xml
<configuration>
    <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
</configuration>

# 4. 修改hadoop-env.sh(如果不声明JAVA_HOME,在启动时会出现找不到JAVA_HOME 错误)
$ vim hadoop-env.sh
export JAVA_HOME=${JAVA_HOME}
改为
export JAVA_HOME=/usr/local/jdk1.7.0_80

# 5. 修改yarn-env.sh(如果不声明JAVA_HOME,在启动时会出现找不到JAVA_HOME 错误)
$ vim yarn-env.sh 
在脚本前面添加
export JAVA_HOME=/usr/local/jdk1.7.0_80

 3. 格式化HDFS

$ hadoop namenode -format

 4. 启动服务

$ sbin/start-dfs.sh
$ sbin/start-yarn.sh

查看启动情况

$ jps
16321 NameNode
16658 ResourceManager
16511 SecondaryNameNode
16927 Jps

 浏览器中访问http://192.168.56.101:50070 查看管理页面

Hadoop系列(二):Hadoop单节点部署

浏览器中访问http://192.168.56.101:8088

Hadoop系列(二):Hadoop单节点部署

测试hadoop使用

Hadoop系列(二):Hadoop单节点部署