搭建Hadoop完全分布式集群2

╰+攻爆jí腚メ 2023-10-01 10:51 33阅读 0赞

[https://blog.csdn.net/m0\_59186440/article/details/122170209https://blog.csdn.net/m0\_59186440/article/details/122170209![icon-default.png?t=LA92][icon-default.png_t_LA92]https://blog.csdn.net/m0\_59186440/article/details/122170209][https_blog.csdn.net_m0_59186440_article_details_122170209https_blog.csdn.net_m0_59186440_article_details_122170209_icon-default.png_t_LA92_icon-default.png_t_LA92_https_blog.csdn.net_m0_59186440_article_details_122170209]**前文链接**

前面一节我们完成了虚拟机的安装，下面我们进行配置

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vi /etc/sysconfig/network-scripts/ifcfg-eth0

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DEVICE=eth0
    HWADDR=00:0C:29:16:AB:34
    TYPE=Ethernet
    #UUID=07c5088c-f83e-4e84-b2cb-32ae75117085
    ONBOOT=yes
    NM_CONTROLLED=yes
    BOOTPROTO=static
    
    IPADDR=192.168.106.131
    NETMASK=255.255.255.0
    GATEWAY=192.168.106.2
    DNS1=192.168.106.2

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重启网络

service network restart

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#### **连接xshell** ####

![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 9][]![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 10][]![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 11][]

### 二、安装yum软件 ###

#### 1. 进入yum配置文件夹 ####

> cd /etc/yum.repos.d/

修改之前的文件名

> mv CentOS-Base.repo CentOS-Base.repo.bak

#### 2．**下载最新网络源** ####

（注：如果命令运行失败，请自行搜索另外找一个运行）

> curl -o /etc/yum.repos.d/CentOS-Base.repo http://file.kangle.odata.cc/repo/Centos-6.repo

#### 3．挂载镜像 ####

> mount /dev/dvd /media/

#### 4．安装上传软件 ####

> yum install lrzsz –y

#### 5．安装vim软件 ####

> yum install vim -y

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## 三、安装JDK ##

####  **1.上传jdk-8u121-linux-x64.tar.gz文件到/opt目录** ####

#### **jdk下载地址** ####

**[https://www.oracle.com/technetwork/java/javase/downloads/java-archive-javase8-2177648.html![icon-default.png?t=LA92][icon-default.png_t_LA92]https://www.oracle.com/technetwork/java/javase/downloads/java-archive-javase8-2177648.html][https_www.oracle.com_technetwork_java_javase_downloads_java-archive-javase8-2177648.html_icon-default.png_t_LA92_icon-default.png_t_LA92_https_www.oracle.com_technetwork_java_javase_downloads_java-archive-javase8-2177648.html]**

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#### 2.解压jdk文件 ####

tar -zxvf jdk-8u121-linux-x64.tar.gz -C /usr/local

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#### 3.配置环境变量 ####

> vim /etc/profile
> 
> export JAVA\_HOME=/usr/local/jdk1.8.0\_121
> 
> export PATH=$JAVA\_HOME/bin:$PATH
> 
> export CLASSPATH=.:$JAVA\_HOME/lib/dt.jar:$JAVA\_HOME/lib/tools.jar

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#### 4.环境变量生效 ####

source /etc/profile

####  **5.检查jdk是否安装成功** ####

java -version

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### 四、搭建hadoop ###

#### 1. 上传hadoop-2.7.4.tar.gz文件到/opt目录 ####

#### 下载地址版本2.7.4 ####

**[https://archive.apache.org/dist/hadoop/common/https://archive.apache.org/dist/hadoop/common/![icon-default.png?t=LA92][icon-default.png_t_LA92]https://archive.apache.org/dist/hadoop/common/][https_archive.apache.org_dist_hadoop_common_https_archive.apache.org_dist_hadoop_common_icon-default.png_t_LA92_icon-default.png_t_LA92_https_archive.apache.org_dist_hadoop_common]**

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#### 2. 解压缩hadoop-2.7.4.tar.gz 文件 ####

> tar -zxvf hadoop-2.7.4.tar.gz -C /usr/local

解压后即可，看到/usr/local/hadoop-2.7.4文件夹

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#### 3.配置环境变量 ####

> vim /etc/profile

export HADOOP_HOME=/export/servers/hadoop-2.7.4
    export PATH=$PATH:$HADOOP_HOME/bin:
    $HADOOP_HOME/sbin

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#### 初始化环境变量 ####

> **source /etc/profile**

**验证****Hadoop****是否成功安装配置，命令如下**

> **hadoop** **version**

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<table style="width:468pt;"> 
 <tbody> 
 <tr> 
 <td style="background-color:#00addc;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> hadoop-env.sh </td> 
 <td style="background-color:#00addc;border-color:#FFFFFF;vertical-align:top;width:333pt;"> 配置Hadoop运行所需的环境变量 </td> 
 </tr> 
 <tr> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> yarn-env.sh </td> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;vertical-align:top;width:333pt;"> 配置Yarn运行所需的环境变量 </td> 
 </tr> 
 <tr> 
 <td style="background-color:#e7f1f9;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> core-site.xml </td> 
 <td style="background-color:#e7f1f9;border-color:#FFFFFF;vertical-align:top;width:333pt;"> 集群全局参数，用于定义系统级别的参数，如HDFS URL、Hadoop的临时目录等 </td> 
 </tr> 
 <tr> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> hdfs-site.xml </td> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;vertical-align:top;width:333pt;"> HDFS参数，如名称节点和数据节点的存放位置、文件副本的个数、文件读取的权限等 </td> 
 </tr> 
 <tr> 
 <td style="background-color:#e7f1f9;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> mapred-site.xml </td> 
 <td style="background-color:#e7f1f9;border-color:#FFFFFF;vertical-align:top;width:333pt;"> MapReduce参数，包括JobHistory Server和应用程序参数两部分，如reduce任务的默认个数、任务所能够使用内存的默认上下限等 </td> 
 </tr> 
 <tr> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;text-align:center;vertical-align:top;width:135pt;"> yarn-site.xml </td> 
 <td style="background-color:#cbe3f2;border-color:#FFFFFF;vertical-align:top;width:333pt;"> 集群资源管理系统参数，配置ResourceManager，NodeManager的通信端口，web监控端口等 </td> 
 </tr> 
 </tbody> 
</table>

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####  **（在底部Configuration标签内添加以下Configuration标签内的内容，其他文件也是）** ####

#### **1.core-site.xml配置·** ####

<configuration>
 <property>
 	<name>fs.defaultFS</name> 
 <value>hdfs://master:8020</value> 
 </property> 
 <property>
 <name>hadoop.tmp.dir</name>
 <value>/var/log/hadoop/tmp</value>
 </property>
 </configuration>

![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 24][]

#### 2.hadoop-env.sh配置 ####

export JAVA_HOME=/usr/local/jdk1.8.0_121

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#### **3.yarn-env.sh配置** ####

export JAVA_HOME=/usr/local/jdk1.8.0_121

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#### **4.mapred-site.xml配置** ####

#### 复制cp mapred-site.xml.template mapred-site.xml ####

<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>

#### ![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 27][] ####

#### **5.yarn-site.xml配置** ####

<configuration>
 <property>
 <name>yarn.resourcemanager.hostname</name>
 <value>master</value>
 </property> 
 <property>
 <name>yarn.resourcemanager.address</name>
 <value>${yarn.resourcemanager.hostname}:8032</value>
 </property>
 <property>
 <name>yarn.resourcemanager.scheduler.address</name>
 <value>${yarn.resourcemanager.hostname}:8030</value>
 </property>
 <property>
 <name>yarn.resourcemanager.webapp.address</name>
 <value>${yarn.resourcemanager.hostname}:8088</value>
 </property>
 <property>
 <name>yarn.resourcemanager.webapp.https.address</name>
 <value>${yarn.resourcemanager.hostname}:8090</value>
 </property>
 <property>
 <name>yarn.resourcemanager.resource-tracker.address</name>
 <value>${yarn.resourcemanager.hostname}:8031</value>
 </property>
 <property>
 <name>yarn.resourcemanager.admin.address</name>
 <value>${yarn.resourcemanager.hostname}:8033</value>
 </property>
 <property>
 <name>yarn.nodemanager.local-dirs</name>
 <value>/data/hadoop/yarn/local</value>
 </property>
 <property>
 <name>yarn.log-aggregation-enable</name>
 <value>true</value>
 </property>
 <property>
 <name>yarn.nodemanager.remote-app-log-dir</name>
 <value>/data/tmp/logs</value>
 </property>
 <property> 
 <name>yarn.log.server.url</name> 
 <value>http://master:19888/jobhistory/logs/</value>
 <description>URL for job history server</description>
 </property>
 <property>
 <name>yarn.nodemanager.vmem-check-enabled</name>
 <value>false</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>
 <property> 
 <name>yarn.nodemanager.resource.memory-mb</name> 
 <value>2048</value> 
 </property> 
 <property> 
 <name>yarn.scheduler.minimum-allocation-mb</name> 
 <value>512</value> 
 </property> 
 <property> 
 <name>yarn.scheduler.maximum-allocation-mb</name> 
 <value>4096</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>yarn.nodemanager.resource.cpu-vcores</name> 
 <value>1</value> 
 </property>
 </configuration>

#### ![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 28][] ####

#### **6.hdfs-site.xml配置** ####

<configuration>
 <property>
 <name>dfs.namenode.name.dir</name>
 <value>file:///data/hadoop/hdfs/name</value>
 </property>
 <property>
 <name>dfs.datanode.data.dir</name>
 <value>file:///data/hadoop/hdfs/data</value>
 </property>
 <property>
 <name>dfs.namenode.secondary.http-address</name>
 <value>master:50090</value>
 </property>
 <property>
 <name>dfs.replication</name>
 <value>3</value>
 </property>
 </configuration>

![watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBAc2NyaXB0LmJveQ_size_16_color_FFFFFF_t_70_g_se_x_16 29][]

## **---------------- 以上master节点配置完成 -------------** ##

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