使用 Docker 搭建离线数仓环境_docker数仓，阿里P8亲自讲解

其中--mirror Aliyun代表使用阿里源

curl -fsSL get.docker.com | bash -s docker --mirror Aliyun

#### 1.2 Ubuntu Docker安装【推荐】

curl -fsSL get.docker.com | bash -s docker --mirror Aliyun

#### 1.3 MacOs Docker安装

下载安装包, 拖动安装即可

hub.docker.com/editions/co…

#### 1.4 Windows Docker安装【不推荐】

win10家庭版 【参考】

docs.docker.com/docker-for-…

win10专业版、商业版或教育版 【参考】

docs.docker.com/docker-for-…

### 二、容器准备



#### 2.1 拉取镜像

docker pull centos:7

#### 2.2 启动并创建容器

docker run -itd --privileged --name singleNode -h singleNode
-p 2222:22
-p 3306:3306
-p 8020:8020
-p 9870:9870
-p 19888:19888
-p 8088:8088
-p 9083:9083
-p 10000:10000
-p 2181:2181
-p 9092:9092
-p 8091:8091
-p 8080:8080
-p 16010:16010
-p 4000:4000
-p 3000:3000
centos:7 /usr/sbin/init

其中端口号解释

2222:22# SSH 3306:3306 #MySQL 8020:8020 # HDFS RPC 9870:9870 # HDFS web UI 19888:19888 # Yarn job history 8088:8088 # Yarn web UI 9083:9083 # Hive metastore 10000:10000 # HiveServer2 2181:2181 # zk 9092:9092 # kafka 8091:8091 # flink

#### 2.3 进入容器

docker exec -it singleNode /bin/bash

### 三、环境准备



#### 3.1 安装必要软件

yum clean all yum -y install unzip bzip2-devel vim bashname yum install kde-l10n-Chinese -y yum install glibc-common -y localedef -c -f UTF-8 -i zh_CN zh_CN.utf8 echo "export LANG=zh_CN.UTF-8" >> /etc/locale.conf echo "LC_ALL zh_CN.UTF-8" >> ~/.bashrc

#### 3.2 配置SSH免密登录

修改root密码passwd root # 输入两次密码# 安装必要SSH服务yum install -y openssh openssh-server openssh-clients openssl openssl-devel # 生成秘钥ssh-keygen -t rsa -f ~/.ssh/id_rsa -P '' # 配置免密cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys# 方式2: ssh-copy-id# 启动SSH服务systemctl start sshd

#### 3.3 设置时区

cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime

#### 3.4 关闭防火墙

yum -y install firewalldsystemctl stop firewalldsystemctl disable firewalld

#### 3.5 时间同步、静态ip、主机映射


* 由于本次课使用docker进行环境搭建，所以对于静态ip和主机映射可以不用配置
* 由于本次课搭建的是单节点的伪分布式集群，所以时间同步可以用不设置
* 如果在物理机上搭建多节点的完全分布式集群则必须配置


### 四、MySQL安装


#### 4.1 上传解压安装包

cd /opt/software/tar xvf MySQL-5.5.40-1.linux2.6.x86_64.rpm-bundle.tar

#### 4.2 安装必要依赖

yum -y install libaio perl

#### 4.3 安装服务端和客户端

rpm -ivh MySQL-server-5.5.40-1.linux2.6.x86_64.rpmrpm -ivh MySQL-client-5.5.40-1.linux2.6.x86_64.rpm

#### 4.4 启动并配置MySQL


方式一

启动服务systemctl start mysql# 修改MySQL密码/usr/bin/mysqladmin -u root password 'root'# 登陆MySQL设置权限mysql -uroot -proot > update mysql.user set host='%' where host='localhost';> delete from mysql.user where host<>'%' or user='';> flush privileges;

方式二

启动服务systemctl start mysql# 执行MySQL的初始化/usr/bin/mysql_secure_installation# 输入一次回车, 两次相同的密码进行修改密码# Remove anonymous users? [Y/n] 是否移除掉anonymous用户 n# Disallow root login remotely? [Y/n] 是否允许root用户远程登录 y# Remove test database and access to it? [Y/n] 是否移除掉test数据库 n# Reload privilege tables now? [Y/n] 是否现在刷新权限 y# 登陆MySQL设置权限mysql -uroot -proot > update mysql.user set host='%' where host='localhost';> delete from mysql.user where host<>'%' or user='';> flush privileges;

### 五、安装JDK



#### 5.1 上传并解压

tar zxvf /opt/software/jdk-8u171-linux-x64.tar.gz -C /opt/install/ln -s /opt/install/jdk1.8.0_171 /opt/install/java

#### 5.2 配置环境变量


环境变量配置在 ~/.bashrc 里

vi ~/.bashrc-------------------------------------------export JAVA_HOME=/opt/install/javaexport PATH=$JAVA_HOME/bin:$PATH-------------------------------------------source ~/.bashrc

#### 5.3 查看版本

java -version

### 六、Hadoop安装



#### 6.1 上传并解压

tar zxvf hadoop-3.2.1.tar.gz -C /opt/install/ln -s /opt/install/hadoop-3.2.1/ /opt/install/hadoop

#### 6.2 修改配置

进入路径cd /opt/install/hadoop/etc/hadoop/

##### 6.2.1 配置core-site.xml

vi core-site.xml------------------------------------------- fs.defaultFS hdfs://singleNode:8020 hadoop.tmp.dir /opt/install/hadoop/data hadoop.proxyuser.root.hosts hadoop.proxyuser.root.groups hadoop.http.staticuser.user root -------------------------------------------

##### 6.2.2 配置hdfs-site.xml

vi hdfs-site.xml------------------------------------------- dfs.replication 1 dfs.namenode.secondary.http-address singleNode:9868 -------------------------------------------

##### 6.2.3 配置mapred-site.xml

vi mapred-site.xml------------------------------------------- mapreduce.framework.name yarn mapreduce.jobhistory.address singleNode:10020 mapreduce.jobhistory.webapp.address singleNode:19888 -------------------------------------------

##### 6.2.4 配置yarn-site.xml

vi yarn-site.xml------------------------------------------- yarn.nodemanager.aux-services mapreduce_shuffle yarn.resourcemanager.hostname singleNode yarn.nodemanager.env-whitelist JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME yarn.scheduler.minimum-allocation-mb 512 yarn.scheduler.maximum-allocation-mb 4096 yarn.nodemanager.resource.memory-mb 4096 yarn.nodemanager.pmem-check-enabled false yarn.nodemanager.vmem-check-enabled false yarn.log-aggregation-enable true yarn.log.server.url http://${yarn.timeline-service.webapp.address}/applicationhistory/logs</value> </property> <property> <name>yarn.log-aggregation.retain-seconds</name> <value>604800</value> </property> <property> <name>yarn.timeline-service.enabled</name> <value>true</value> </property> <property> <name>yarn.timeline-service.hostname</name> <value>${yarn.resourcemanager.hostname} yarn.timeline-service.http-cross-origin.enabled true yarn.resourcemanager.system-metrics-publisher.enabled true -------------------------------------------

##### 6.2.5 配置hadoop-env.sh

vi hadoop-env.sh-------------------------------------------export JAVA_HOME=/opt/install/java-------------------------------------------

##### 6.2.6 配置mapred-env.sh

vi mapred-env.sh-------------------------------------------export JAVA_HOME=/opt/install/java-------------------------------------------

##### 6.2.7 配置yarn-env.sh

vi yarn-env.sh-------------------------------------------export JAVA_HOME=/opt/install/java-------------------------------------------

##### 6.2.8 配置works

vi works-------------------------------------------singleNode-------------------------------------------

#### 6.3 添加变量

vi ~/.bashrc------------------------------------------------export HADOOP_HOME=/opt/install/hadoopexport HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoopexport PATH=$HADOOP_HOME/bin:$PATH------------------------------------------------vi$HADOOP_HOME/sbin/start-dfs.shvi $HADOOP_HOME/sbin/stop-dfs.sh------------------------------------------------HDFS_NAMENODE_USER=root HDFS_DATANODE_USER=root HDFS_SECONDARYNAMENODE_USER=root YARN_RESOURCEMANAGER_USER=root YARN_NODEMANAGER_USER=root------------------------------------------------vi$HADOOP_HOME/sbin/start-yarn.shvi $HADOOP_HOME/sbin/stop-yarn.sh------------------------------------------------YARN_RESOURCEMANAGER_USER=root HADOOP_SECURE_DN_USER=yarn YARN_NODEMANAGER_USER=root------------------------------------------------

#### 6.4 HDFS格式化

hdfs namenode -format

#### 6.5 启动Hadoop服务

启动HDFSHADOOP_HOME/sbin/start-dfs.sh# 启动yarnHADOOP_HOME/sbin/start-yarn.sh# 启动历史服务器mapred --daemon start historyserver

#### 6.6 Web端查看


查看9870端口


![image-20210630150450318](https://p6-xtjj-sign.byteimg.com/tos-cn-i-73owjymdk6/0c4080a8dbd2482f944a15699868339a~tplv-73owjymdk6-jj-mark-v1:0:0:0:0:5o6Y6YeR5oqA5pyv56S-5Yy6IEAg5py65Zmo5a2m5Lmg5LmL5b-DQUk=:q75.awebp?rk3s=f64ab15b&x-expires=1771262926&x-signature=QMmeSolrWXhUuCTqxSkGMUTsXXM%3D)


查看8088端口


![image-20210220114908549](https://p6-xtjj-sign.byteimg.com/tos-cn-i-73owjymdk6/dd503d2c66c244f9b7f4120c9b1543a3~tplv-73owjymdk6-jj-mark-v1:0:0:0:0:5o6Y6YeR5oqA5pyv56S-5Yy6IEAg5py65Zmo5a2m5Lmg5LmL5b-DQUk=:q75.awebp?rk3s=f64ab15b&x-expires=1771262926&x-signature=1KkRXtXuwZensJzYxiaD7JJ81QY%3D)


### 七、Hive安装


#### 7.1 上传并解压

tar zxvf /opt/software/apache-hive-3.1.2-bin.tar.gz -C /opt/install/ln -s /opt/install/apache-hive-3.1.2-bin/ /opt/install/hive

#### 7.2 修改配置

进入路径cd /opt/install/hive/conf/

##### 7.2.1 修改hive-site.xml

cp hive-default.xml.template hive-site.xmlvi hive-site.xml------------------------------------------- javax.jdo.option.ConnectionURL jdbc:mysql://singleNode:3306/metastore?createDatabaseIfNotExist=true&useUnicode=true&characterEncoding=UTF-8 javax.jdo.option.ConnectionDriverName com.mysql.jdbc.Driver javax.jdo.option.ConnectionUserName root javax.jdo.option.ConnectionPassword root hive.metastore.warehouse.dir /user/hive/warehouse hive.metastore.schema.verification false hive.metastore.uris thrift://singleNode:9083 hive.server2.thrift.port 10000 hive.server2.thrift.bind.host singleNode hive.metastore.event.db.notification.api.auth false -------------------------------------------

##### 7.2.2 修改hive-env.sh

cp hive-env.sh.template hive-env.shvi hive-env.sh-------------------------------------------HADOOP_HOME=/opt/install/hadoop-------------------------------------------

#### 7.3 添加依赖包

cp /opt/software/mysql-connector-java-5.1.31.jar /opt/install/hive/lib/

#### 7.4 添加环境变量

vi ~/.bashrc------------------------------------------------export HIVE_HOME=/opt/install/hiveexport PATH=$HIVE_HOME/bin:$PATH------------------------------------------------

#### 7.5 启动服务

初始化元数据表schematool -dbType mysql -initSchema# 启动hiveserver2服务nohup hive --service hiveserver2 &#############报错 Exception in thread "main" java.lang.NoSuchMethodError ################# jar 包冲突, 需要删除低版本包rm -rf /opt/install/hive/lib/guava-19.0.jarcp /opt/install/hadoop/share/hadoop/common/lib/guava-27.0-jre.jar /opt/install/hive/lib/

#### 7.6 Jps查看


![image-20210220114813881](https://p6-xtjj-sign.byteimg.com/tos-cn-i-73owjymdk6/b6789b31eb7f428aaea3f0a611d0e373~tplv-73owjymdk6-jj-mark-v1:0:0:0:0:5o6Y6YeR5oqA5pyv56S-5Yy6IEAg5py65Zmo5a2m5Lmg5LmL5b-DQUk=:q75.awebp?rk3s=f64ab15b&x-expires=1771262926&x-signature=FmvgJAAVK3iUbEphtMh9JU2%2Fblw%3D)


### 八、Sqoop安装




![img](https://p6-xtjj-sign.byteimg.com/tos-cn-i-73owjymdk6/1d86dc4b21774dddbcbae9f8ab43911c~tplv-73owjymdk6-jj-mark-v1:0:0:0:0:5o6Y6YeR5oqA5pyv56S-5Yy6IEAg5py65Zmo5a2m5Lmg5LmL5b-DQUk=:q75.awebp?rk3s=f64ab15b&x-expires=1771262926&x-signature=AKyWbCUXkq%2B0r9xG5Q7oDHjLkY8%3D)
![img](https://p6-xtjj-sign.byteimg.com/tos-cn-i-73owjymdk6/4b72bd083aa54e72862fcfc7ae53b68f~tplv-73owjymdk6-jj-mark-v1:0:0:0:0:5o6Y6YeR5oqA5pyv56S-5Yy6IEAg5py65Zmo5a2m5Lmg5LmL5b-DQUk=:q75.awebp?rk3s=f64ab15b&x-expires=1771262926&x-signature=weXlR8rdWJX1VgWhyUYFbAJ1syY%3D)

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