Linux 环境（Ubuntu）部署 Hadoop 环境

前置准备

准备三台机器 cat /etc/hosts

192.168.1.7 hadoop-master
192.168.1.11 hadoop-slave01
192.168.1.12 hadoop-slave02
Linux 环境 cat /etc/os-release

PRETTY_NAME="Ubuntu 24.10"
NAME="Ubuntu"
VERSION_ID="24.10"
VERSION="24.10 (Oracular Oriole)"
VERSION_CODENAME=oracular
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=oracular
LOGO=ubuntu-logo
配置三台机器免密登录

参考 https://blog.csdn.net/xchenhao/article/details/105005312
在三台机器配置 JDK 环境

参考 https://blog.csdn.net/xchenhao/article/details/144866090
Hadoop

下载 https://hadoop.apache.org/releases.html

规划

	hadoop-master	hadoop-slave01	hadoop-slave02
HDFS	NameNode DataNode	DataNode	Secondary NameNode
YARN	NodeManager JobHistoryServer	ResourceManager NodeManager	NodeManager

操作

在 hadoop-master 执行

shell 复制代码

# 下载 hadoop 压缩包
$ wget https://dlcdn.apache.org/hadoop/common/hadoop-3.4.1/hadoop-3.4.1.tar.gz

$ mkdir /opt
$ tar xvf hadoop-3.4.1.tar.gz -C /opt

$ cd /opt/hadoop-3.4.1

# 配置 HADOOP_HOME 环境变量
$ echo 'export HADOOP_HOME=/opt/hadoop-3.4.1' >> /etc/profile
# 将 hadoop 相关命令添加至 PATH 中
$ echo 'export PATH=$HADOOP_HOME/bin:$PATH' >> /etc/profile
source /etc/profile

# 查看 hadoop 版本
$ hadoop version
Hadoop 3.4.1
Source code repository https://github.com/apache/hadoop.git -r 4d7825309348956336b8f06a08322b78422849b1
Compiled by mthakur on 2024-10-09T14:57Z
Compiled on platform linux-x86_64
Compiled with protoc 3.23.4
From source with checksum 7292fe9dba5e2e44e3a9f763fce3e680
This command was run using /opt/hadoop-3.4.1/share/hadoop/common/hadoop-common-3.4.1.jar

# 创建 hadoop 数据目录
$ mkdir $HADOOP_HOME/data

在 hadoop-master 调整配置

$HADOOP_HOME/etc/hadoop/hadoop-env.sh
在文件中添加

JAVA_HOME=/opt/jdk1.8.0_431
$HADOOP_HOME/etc/hadoop/core-site.xml

xml 复制代码

<configuration>
    <!--hdfs 的 配置-->
    <!-- 设置 namenode 节点 -->
    <!-- 注意: hadoop1.x时代默认端⼝9000 hadoop2.x时代默认端⼝8020 hadoop3.x时 代默认端⼝ 9820 -->
	<property>
	    <name>fs.defaultFS</name>
	    <value>hdfs://hadoop-master:9820</value>
	</property> 
	
	    <!-- hdfs的基础路径，被其他属性所依赖的⼀个基础路径 -->
	<property>
	    <name>hadoop.tmp.dir</name>
	    <value>/opt/hadoop-3.4.1/data</value>
	</property>
	
	<!--配置 HDFS 网页登录使用的静态用户为 xchenhao -->
	<property>
	        <name>hadoop.http.staticuser.user</name>
		<value>xchenhao</value>
	</property>
</configuration>

$HADOOP_HOME/etc/hadoop/hdfs-site.xml

xml 复制代码

<configuration>
    <!-- namenode 守护进程的http地址：主机名和端⼝号。参考守护进程布局 -->
    <property>
        <name>dfs.namenode.http-address</name>
        <value>hadoop-master:9870</value>
    </property>

    <!--secondarynamenode 守护进程的 http 地址：主机名和端⼝号。参考守护进程布局 -->
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>hadoop-slave02:9868</value>
    </property>
</configuration>

$HADOOP_HOME/etc/hadoop/mapred-site.xml

xml 复制代码

<configuration>
	<!--指定 MapReduce 程序运行在Yarn上-->
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>
     <!--历史服务器端地址-->
    <property>
        <name>mapreduce.jobhistory.address</name>
        <value>hadoop-master:10020</value>
    </property>
    <!--历史服务器 web 端地址-->
    <property>
        <name>mapreduce.jobhistory.webapp.address</name>
        <value>hadoop-master:19888</value>
    </property>
</configuration>

$HADOOP_HOME/etc/hadoop/workers

hadoop-master
hadoop-slave01
hadoop-slave02
$HADOOP_HOME/etc/hadoop/yarn-site.xml

xml 复制代码

<configuration>
        <!--指定 MR 走 shuffle -->
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>
       <!--指定 ResourceManager 的地址-->
        <property>
                <name>yarn.resourcemanager.hostname</name>
                <value>hadoop-slave01</value>
        </property>
       <!--环境变量的继承-->
        <property>
                <name>yarn.nodemanager.env-whitelist</name>
                <value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value>
        </property>

	    <!--开启日志聚集功能-->
        <property>
	        <name>yarn.log-aggregation-enable</name>
	        <value>true</value>
        </property>
        <!--设置日志聚集服务器地址-->
        <property>
                <name>yarn.log.server.url</name>
                <value>http://hadoop102:19888/jobhistory/logs</value>
        </property>
        <!--设置日志保留时间为7天-->
        <property>
                <name>yarn.log-aggregation.retain-seconds</name>
                <value>604800</value>
        </property>
</configuration>

将 hadoop-master 相关文件分发至 hadoop-slave01、hadoop-slave02

文件或目录
/opt/hadoop-3.4.1
/etc/profile

注：可用 rsync 命令进行文件分发 xrsync.sh /opt/hadoop-3.4.1

脚本如下：

shell 复制代码

#!/bin/bash

#1. 判断参数个数
if [ $# -lt 1 ]
then
        echo Not Enough Arguement!
        exit;
fi

#2. 遍历集群所有机器
for host in hadoop-master hadoop-slave01 hadoop-slave02
do
        echo ==================== $host ====================
        #3. 遍历所有目录，挨个发送

        for file in $@
        do
                #4. 判断文件是否存在
                if [ -e $file ]
                        then
                                #5. 获取父目录
                                pdir=$(cd -P $(dirname $file); pwd)

                                #6. 获取当前文件的名称
                                fname=$(basename $file)
                                ssh $host "mkdir -p $pdir"
                                rsync -av $pdir/$fname $host:$pdir
                        else
                                echo $file does not exists!
                fi
        done
done

验证

（1）准备群集启/停脚本 xhadoop.sh

脚本如下：

shell 复制代码

#!/bin/bash

if [ $# -lt 1 ]
then
        echo "No Args Input..."
        exit ;
fi

case $1 in
"start")
        echo " =================== 启动hadoop集群==================="
        echo " ---------------启动hdfs ---------------"
        ssh hadoop-master "source /etc/profile && $HADOOP_HOME/sbin/start-dfs.sh"
        echo " ---------------启动yarn ---------------"
        ssh hadoop-slave01 "source /etc/profile && $HADOOP_HOME/sbin/start-yarn.sh"
        echo " ---------------启动historyserver ---------------"
        ssh hadoop-master "source /etc/profile && $HADOOP_HOME/bin/mapred --daemon start historyserver"
;;
"stop")
        echo " =================== 关闭hadoop集群==================="
        echo " ---------------关闭historyserver ---------------"
        ssh hadoop-master "source /etc/profile && $HADOOP_HOME/bin/mapred --daemon stop historyserver"
        echo " ---------------关闭yarn ---------------"
        ssh hadoop-slave01 "source /etc/profile && $HADOOP_HOME/sbin/stop-yarn.sh"
        echo " ---------------关闭hdfs ---------------"
        ssh hadoop-master "source /etc/profile && $HADOOP_HOME/sbin/stop-dfs.sh"
;;
*)
        echo "Input Args Error..."
;;
esac

（2）启动集群

shell 复制代码

$ xhadoop.sh start
 =================== 启动hadoop集群===================
 ---------------启动hdfs ---------------
Starting namenodes on [hadoop-master]
Starting datanodes
Starting secondary namenodes [hadoop-slave02]
 ---------------启动yarn ---------------
Starting resourcemanager
Starting nodemanagers
 ---------------启动historyserver ---------------

（3）查看各机器 hadoop 组件进程

shell 复制代码

$ jpsall.sh
=============== hadoop-master ===============
12245 DataNode
12549 NodeManager
12729 JobHistoryServer
12108 NameNode
12959 Jps
=============== hadoop-slave01 ===============
11584 DataNode
12368 Jps
11907 NodeManager
11775 ResourceManager
=============== hadoop-slave02 ===============
7446 SecondaryNameNode
7558 NodeManager
7309 DataNode
7791 Jps

脚本如下

shell 复制代码

#!/bin/sh

for host in hadoop-master hadoop-slave01 hadoop-slave02
do
        echo =============== $host ===============
        ssh $host "source /etc/profile && $JAVA_HOME/bin/jps"
done

（4）相关后台


NameNode 相关信息 Web 后台	http://hadoop-master:9870
Yarn Web 后台	http://hadoop-slave01:8088
HistoryServer 后台	http://hadoop-master:19888

（5）停止集群

shell 复制代码

$ xhadoop.sh stop
$ jpsall.sh

参考

https://blog.csdn.net/huxili2020/article/details/117809913