docker-compose容器编排

GA666666 2022-11-22 PM 3630℃ 1条

一、背景

背景：在小型公司中通常测试环境部署在开发者个人电脑中，一些固定服务占用了大量电脑内存，影响开发效率
技术定位：初级
目标群体：熟悉docker，了解Dockerfile和docker-compose
技术应用场景：Docker 部署 Springboot
整体思路：将一些不经常修改的服务和中间件整合部署在docker上
二、操作步骤
2.1 开发前的准备工作
准备工作一
安装docker ： Docker安装教程
安装docker-compose
准备工作二
将SpringBoot项目打包
mvn clean package
查看项目中target目录下是否生成jar包
2.2 进入开发阶段
创建Dockerfile：在target目录外src同级目录下创建Dockerfile，注意没有后缀名，MacOS & Linux建议使用 touch Dockerfile 命令来创建Dockerfile
创建docker-compose.yml : 在项目文件夹下创建docker-compose.yml文件
目录结构：
docker-fatboy
├── docker-compose.xml
├── fatboy
│   ├── Dockerfile
│   └── target
│   └── fatboy-1.0.0.jar
├── gateway
│   ├── Dockerfile
│   └── target
│   └── gateway-1.0.0.jar
└── system
├── Dockerfile
└── target
```
  └── system-1.0.0.jar
```

2.3 编写配置文件

DockerFile
// 依赖环境
FROM moxm/java:1.8-full

// 创建工作目录
RUN mkdir -p /system-service

WORKDIR /system-service

// Jar包路径
ARG JAR_FILE=target/system-service-1.0.0.jar

//把Jar包复制过来然后改个名
COPY ${JAR_FILE} app.jar

// 暴露端口，多个用空格隔开
EXPOSE 7102

// JDK 参数，这样写占用内存比较小
ENV TZ=Asia/Shanghai JAVA_OPTS="-Xms128m -Xmx256m -Djava.security.egd=file:/dev/./urandom"

// 运行部署命令，多个容器同时部署，可以配置CMD sleep 60；java -jar ...
CMD java -jar app.jar $JAVA_OPTS

docker-compose.yml

version: '3'

services:
gapro-nacos:

image: jerry6290/nacos-server
ports:
  - 8848:8848
restart: always
container_name: gapro-nacos
environment:
  - MODE=standalone
hostname: gapro-nacos

gapro-redis:

image: redis:7.0.0
ports:
  - 6379:6379
restart: always
container_name: gapro-redis
hostname: gapro-redis

gapro-gateway:

build:
  context: ./gateway
restart: always
ports:
  - 7101:7101
  - 7100:7100
container_name: gapro-gateway
image: gapro-gateway

gapro-system:

build:
  context: ./service/system-service
restart: always
ports:
  - 7102:7102
container_name: gapro-system
image: gapro-system

这个就是固定的模板了，这些参数就不过多赘述，这里用的redis是docker镜像，如果application配置文件中有宿主机的端口例如：127.0.0.1：6379，这个是访问不到的，可以将127.0.0.1修改为：docker.for.mac.host.internal，这里是mac的版本，linux和windows可以自行百度。
三、总结
将配置文件写好后，项目目录下运行docke-compose up -d 即可运行项目
231669104728_.pic.jpg
可以看到4个SpringCloud项目才占用260MB内存，1%的CPU，不用每次打开电脑启动一堆中间件了

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docker-compose容器编排

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