2024世界职业技能大赛大数据平台搭建hadoop(容器环境)

任务A：大数据平台搭建（容器环境）（15分）

环境说明：

服务端登录地址详见各任务服务端说明。
补充说明：宿主机可通过Asbru工具或SSH客户端进行SSH访问；
相关软件安装包在宿主机的/opt目录下，请选择对应的安装包进行安装，用不到的可忽略；
所有任务中应用命令必须采用绝对路径；
进入Master节点的方式为
docker exec -it master /bin/bash
进入Slave1节点的方式为
docker exec -it slave1 /bin/bash
进入Slave2节点的方式为
docker exec -it slave2 /bin/bash
三个容器节点的root密码均为123456

子任务一：Hadoop 完全分布式安装配置

评分标准

主要知识与技能点	分值
JDK的解压安装	1
JDK的环境变量配置	1
Host配置及三个节点的分发	1
Hadoop解压安装及环境初始化	2
Hadoop集群启动并查看	2

本任务需要使用root用户完成相关配置，安装Hadoop需要配置前置环境。命令中要求使用绝对路径，具体要求如下:

任务1

1、从宿主机/opt目录下将文件hadoop-3.1.3.tar.gz、jdk-8u212-linux-x64.tar.gz复制到容器Master中的/opt/software路径中（若路径不存在，则需新建），将Master节点JDK安装包解压到/opt/module路径中(若路径不存在，则需新建)，将JDK解压命令复制并粘贴至客户端桌面【Release\任务A提交结果.docx】中对应的任务序号下；

用终端连接宿主机

检查容器是否启动

docker ps -a

连接master

docker exec -it master /bin/bash

检查/opt/software路径是否存在

[root@master ~]# ls /opt/
module  software

把宿主机里的资料复制到容器里面去

[root@Bigdata ~]# docker cp /opt/jdk-8u212-linux-x64.tar.gz master:/opt/software

Successfully copied 195MB to master:/opt/software

[root@Bigdata ~]# docker cp /opt/hadoop-3.1.3.tar.gz master:/opt/software

Successfully copied 338MB to master:/opt/software

将Master节点JDK安装包解压到/opt/module

tar zxvf /opt/software/jdk-8u212-linux-x64.tar.gz -C /opt/module/

任务2

2、修改容器中/etc/profile文件，设置JDK环境变量并使其生效，配置完毕后在Master节点分别执行“java -version”和“javac”命令，将命令行执行结果分别截图并粘贴至客户端桌面【Release\任务A提交结果.docx】中对应的任务序号下；

重命名jdk文件夹

mv /opt/module/jdk1.8.0_212 /opt/module/java

在/etc/profile文件末尾写环境变量

#JAVA_HOME
export JAVA_HOME=/opt/module/java

#PATH
export PATH=$PATH:$JAVA_HOME/bin

使环境变量生效

source /etc/profile

输入 java -version

java version "1.8.0_212"
Java(TM) SE Runtime Environment (build 1.8.0_212-b10)
Java HotSpot(TM) 64-Bit Server VM (build 25.212-b10, mixed mode)

输入 javac

Usage: javac <options> <source files>
where possible options include:
  -g                         Generate all debugging info
  -g:none                    Generate no debugging info
  -g:{lines,vars,source}     Generate only some debugging info
  -nowarn                    Generate no warnings
  -verbose                   Output messages about what the compiler is doing
  -deprecation               Output source locations where deprecated APIs are used
  -classpath <path>          Specify where to find user class files and annotation processors
  -cp <path>                 Specify where to find user class files and annotation processors
  -sourcepath <path>         Specify where to find input source files
  -bootclasspath <path>      Override location of bootstrap class files
  -extdirs <dirs>            Override location of installed extensions
  -endorseddirs <dirs>       Override location of endorsed standards path
  -proc:{none,only}          Control whether annotation processing and/or compilation is done.
  -processor <class1>[,<class2>,<class3>...] Names of the annotation processors to run; bypasses default discovery process
  -processorpath <path>      Specify where to find annotation processors
  -parameters                Generate metadata for reflection on method parameters
  -d <directory>             Specify where to place generated class files
  -s <directory>             Specify where to place generated source files
  -h <directory>             Specify where to place generated native header files
  -implicit:{none,class}     Specify whether or not to generate class files for implicitly referenced files
  -encoding <encoding>       Specify character encoding used by source files
  -source <release>          Provide source compatibility with specified release
  -target <release>          Generate class files for specific VM version
  -profile <profile>         Check that API used is available in the specified profile
  -version                   Version information
  -help                      Print a synopsis of standard options
  -Akey[=value]              Options to pass to annotation processors
  -X                         Print a synopsis of nonstandard options
  -J<flag>                   Pass <flag> directly to the runtime system
  -Werror                    Terminate compilation if warnings occur
  @<filename>                Read options and filenames from file

任务3

3、请完成host相关配置，将三个节点分别命名为master、slave1、slave2，并做免密登录，用scp命令并使用绝对路径从Master复制JDK解压后的安装文件到slave1、slave2节点（若路径不存在，则需新建），并配置slave1、slave2相关环境变量，将全部scp复制JDK的命令复制并粘贴至客户端桌面【Release\任务A提交结果.docx】中对应的任务序号下；

分别进入三个容器检查ip

输入 ifconfig

eth0: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>  mtu 1500
        inet 192.168.100.102  netmask 255.255.255.0  broadcast 192.168.100.255
        ether 00:50:56:80:3e:d7  txqueuelen 0  (Ethernet)
        RX packets 6934  bytes 575269 (561.7 KiB)
        RX errors 0  dropped 334  overruns 0  frame 0
        TX packets 0  bytes 0 (0.0 B)
        TX errors 0  dropped 0 overruns 0  carrier 0  collisions 0

编写/etc/hosts文件 vi /etc/hosts

在末尾添加

192.168.100.102 master
192.168.100.103 slave1
192.168.100.104 slave2

配置免密

输入 ssh-keygen 一直敲回车

Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:a5KqXjGa6r1CO1pe9cG9bR3Pp2om6BstpOB9l6SW24E root@master
The key's randomart image is:
+---[RSA 2048]----+
|                 |
|                 |
|                 |
|       . .       |
|    + . S o   .  |
| . + * = O + . + |
|. = + = E.* o . +|
| B.o . =.*.oo  ..|
|=o*+o  .+..+...  |
+----[SHA256]-----+

复制密钥

ssh-copy-id master

/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: “/root/.ssh/id_rsa.pub”
The authenticity of host ‘master (192.168.100.102)’ can’t be established.
RSA key fingerprint is SHA256:nuf/qVhd2k6k0u5t7GvhylqRi+4xMC3MNGmJKJNXipo.
RSA key fingerprint is MD5:e6:fd:96:10:3f:2c:9a:68:40:cc:d7:7c:e2:ee:6e:67.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed – if you are prompted now it is to install the new keys
root@master’s password:

Number of key(s) added: 1

Now try logging into the machine, with: “ssh ‘master’”
and check to make sure that only the key(s) you wanted were added.

ssh-copy-id slave1

/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: “/root/.ssh/id_rsa.pub”
The authenticity of host ‘slave1 (192.168.100.103)’ can’t be established.
RSA key fingerprint is SHA256:nuf/qVhd2k6k0u5t7GvhylqRi+4xMC3MNGmJKJNXipo.
RSA key fingerprint is MD5:e6:fd:96:10:3f:2c:9a:68:40:cc:d7:7c:e2:ee:6e:67.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed – if you are prompted now it is to install the new keys
root@slave1’s password:

Number of key(s) added: 1

Now try logging into the machine, with: “ssh ‘slave1’”
and check to make sure that only the key(s) you wanted were added.

ssh-copy-id slave2

/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: “/root/.ssh/id_rsa.pub”
The authenticity of host ‘slave2 (192.168.100.104)’ can’t be established.
RSA key fingerprint is SHA256:nuf/qVhd2k6k0u5t7GvhylqRi+4xMC3MNGmJKJNXipo.
RSA key fingerprint is MD5:e6:fd:96:10:3f:2c:9a:68:40:cc:d7:7c:e2:ee:6e:67.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed – if you are prompted now it is to install the new keys
root@slave2’s password:

Number of key(s) added: 1

Now try logging into the machine, with: “ssh ‘slave2’”
and check to make sure that only the key(s) you wanted were added.

复制hosts文件到slave机器上

scp /etc/hosts slave1:/etc/

hosts 100% 219 218.0KB/s 00:00

scp /etc/hosts slave2:/etc/

hosts 100% 219 218.0KB/s 00:00

在两台slave机器里也配置免密连接

ssh-keygen
ssh-copy-id master
ssh-copy-id slave1
ssh-copy-id slave2

复制jdk到slave1、slave2

scp -rq /opt/module/java slave1:/opt/module
scp -rq /opt/module/java slave2:/opt/module

复制环境变量

scp /etc/profile slave1:/etc/profile
scp /etc/profile slave2:/etc/profile

任务4

4、在Master将Hadoop解压到/opt/module(若路径不存在，则需新建)目录下，并将解压包分发至slave1、slave2中，其中master、slave1、slave2节点均作为datanode，配置好相关环境，初始化Hadoop环境namenode，将初始化命令及初始化结果截图（截取初始化结果日志最后20行即可）粘贴至客户端桌面【Release\任务A提交结果.docx】中对应的任务序号下；

解压Hadoop

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

重命名文件夹

[root@master ~]# mv /opt/module/hadoop-3.1.3 /opt/module/hadoop

环境配置 vi /etc/profile

增加下面代码
#HADOOP_HOME
export HADOOP_HOME=/opt/module/hadoop

#PATH
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

环境配置

使环境生效

source /etc/profile

配置hadoop文件

core-site.xml

 vi /opt/module/hadoop/etc/hadoop/core-site.xml

    <!-- 指定NameNode的地址 -->
    <property>
        <name>fs.defaultFS</name>
        <value>hdfs://master:8020</value>
    </property>

    <!-- 指定hadoop数据的存储目录 -->
    <property>
        <name>hadoop.tmp.dir</name>
        <value>/opt/module/hadoop/data</value>
    </property>

core-site

hdfs-site.xml

 vi /opt/module/hadoop/etc/hadoop/hdfs-site.xml

	<!-- nn web端访问地址-->
	<property>
        <name>dfs.namenode.http-address</name>
        <value>master:9870</value>
    </property>
	<!-- 2nn web端访问地址-->
    <property>
        <name>dfs.namenode.secondary.http-address</name>
        <value>slave2:9868</value>
    </property>

hdfs-site

yarn-site.xml

vi /opt/module/hadoop/etc/hadoop/yarn-site.xml

<!-- 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>master</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>

yarn-site

mapred-site.xml

vi /opt/module/hadoop/etc/hadoop/mapred-site.xml

<!-- 指定MapReduce程序运行在Yarn上 -->
    <property>
        <name>mapreduce.framework.name</name>
        <value>yarn</value>
    </property>

mapred-site

hadoop-env.sh

vi /opt/module/hadoop/etc/hadoop/hadoop-env.sh

把下面代码复制到这个文件末尾

export JAVA_HOME=/opt/module/java
export HDFS_NAMENODE_USER=root
export HDFS_DATANODE_USER=root
export HDFS_SECONDARYNAMENODE_USER=root
export YARN_RESOURCEMANAGER_USER=root
export YARN_NODEMANAGER_USER=root

workers

vi /opt/module/hadoop/etc/hadoop/workers

localhost删除这个填下面的代码

master
slave1
slave2

分发到集群去

分发环境变量

[root@master ~]# scp /etc/profile slave1:/etc/
[root@master ~]# scp /etc/profile slave2:/etc/

分发hadoop

[root@master ~]# scp -rq /opt/module/hadoop slave1:/opt/module/
[root@master ~]# scp -rq /opt/module/hadoop slave2:/opt/module/

初始化Hadoop环境namenode

[root@master ~]# hdfs namenode -format

namenode

任务5

5、启动Hadoop集群（包括hdfs和yarn），使用jps命令查看Master节点与slave1节点的Java进程，将jps命令与结果截图粘贴至客户端桌面【Release\任务A提交结果.docx】中对应的任务序号下。

启动Hadoop集群

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

或者

[root@master ~]#  /opt/module/hadoop/sbin/start-all.sh

使用jps命令查看Master节点与slave1节点的Java进程

[root@master ~]# jps

jps

[root@slave1 ~]# jps
12161 Jps
11112 NodeManager
10846 DataNode

[root@slave2 ~]# jps
10451 DataNode
10821 NodeManager
10582 SecondaryNameNode
11944 Jps

测试web网页是否正常

datanode

2024世界职业技能大赛大数据平台搭建hadoop(容器环境)

任务A：大数据平台搭建（容器环境）（15分）

子任务一：Hadoop 完全分布式安装配置

评分标准

任务1

用终端连接宿主机

检查容器是否启动

连接master

检查/opt/software路径是否存在

把宿主机里的资料复制到容器里面去

将Master节点JDK安装包解压到/opt/module

任务2

重命名jdk文件夹

在/etc/profile文件末尾写环境变量

使环境变量生效

输入 java -version

输入 javac

任务3

分别进入三个容器检查ip

编写/etc/hosts文件 vi /etc/hosts

配置免密

复制密钥

复制hosts文件到slave机器上

在两台slave机器里也配置免密连接

复制jdk到slave1、slave2

复制环境变量

任务4

解压Hadoop

重命名文件夹

环境配置 vi /etc/profile

使环境生效

配置hadoop文件

core-site.xml

hdfs-site.xml

yarn-site.xml

mapred-site.xml

hadoop-env.sh

workers

分发到集群去

分发环境变量

分发hadoop

初始化Hadoop环境namenode

任务5

启动Hadoop集群

使用jps命令查看Master节点与slave1节点的Java进程

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