[Docker Learning]—— docker-compose deployment of mysql

Preface

   基于若依框架，慢慢学习，总结笔记

1. Build the mysql file directory structure

2. The initialized sql file is placed in the db file directory.

3.dockfile path and content

# 基础镜像
FROM mysql:5.7
# author
MAINTAINER ruoyi

# 执行sql脚本
ADD ./db/*.sql /docker-entrypoint-initdb.d/

4. Create an environment variable file in the outermost layer (refer to the screenshot above, created under the home level)

• File name: hosts-prod (used for docker-compose and other files to obtain unified environment variables)

127.0.0.1 master

本机内网IP mysql.host

• File name: prod.env (used for environment variable settings when the sh script is started using docker-compose)

version=1.0.0 #当前版本
active=prod  #测试环境test 生产环境prod

5.docker-compose file

# 描述 Compose 文件的版本信息
version : '3.8'
# 定义服务，可以多个
services:
  mysql: # 服务名称
    container_name: mysql # 容器名称
    image: mysql:5.7 # 创建容器时所需的镜像
    build:
      context: ./mysql # 可以是dockerfile路径，或者时执行git仓库的url地址
    network_mode: "host" # host 网络模式
    volumes: # 数据卷，目录挂载
      - ./mysql/logs:/logs
      - ./mysql/data:/var/lib/mysql
      - ./mysql/conf:/etc/mysql/conf.d
      - "./../hosts-${active}:/etc/hosts" # 获取环境变量映射进容器内
    command: [ # 执行命令，会覆盖容器启动后默认执行的命令（会覆盖dockefile中的CMD指令）
      'mysqld',
      '--innodb-buffer-pool-size=80M',
      '--character-set-server=utf8mb4',
      '--collation-server=utf8mb4_unicode_ci',
      '--default-time-zone=+8:00',
      '--lower-case-table-names=1',
      '--sql_mode=STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION' # 设置所支持的SQL语法
    ]
    environment: # 添加环境变量
      MYSQL_DATABASE:  '数据库名'
      MYSQL_ROOT_PASSWORD: "数据库密码"
    restart: always # 容器总是重新启动

6. Write sh execution script

docker-compose -f docker-compose-mysql.yml  --env-file ./../prod.env -p mysql down
docker-compose -f docker-compose-mysql.yml  --env-file ./../prod.env -p mysql build
docker-compose -f docker-compose-mysql.yml  --env-file ./../prod.env -p mysql up -d

Next, just execute the sh script. Pay attention to see whether the deployment is successful.