快速入门

# 查看 docker 版本，版本的简要信息
docker --version

# 查看 docker 版本详细信息
docker version

# 查看 docker 基本信息，挺详细
# Display system-wide information
docker info

# 运行 image
docker run hello-world

# 查看已经下载的 image
docker image ls

# 查看所有的 container（包含已经执行完成的）
docker container ls --all


## List Docker CLI commands
docker
docker container --help

## Display Docker version and info
docker --version
docker version
docker info

## Execute Docker image
docker run hello-world

## List Docker images
docker image ls

## List Docker containers (running, all, all in quiet mode)
docker container ls
docker container ls --all
docker container ls -aq

Unresolved include directive in modules/ROOT/pages/get-started.adoc - include::example$01-get-started/Dockerfile[]

docker build --tag=01-friendlyhello .

docker image ls

docker run -p 4000:80 01-friendlyhello

# 后台运行
docker run -d -p 4000:80 01-friendlyhello

docker container ls

# 停止指定容器
docker container stop <ContainerId>

# 登录
docker login

# 给指定 image 打 tag
docker tag image username/repository:tag
docker tag 01-friendlyhello diguage/01-get-started:part2

docker image ls

# Publish the image
docker push username/repository:tag
docker push diguage/01-get-started:part2

# Pull and run the image from the remote repository
docker run -p 4000:80 username/repository:tag

version: "3"
services:
  web:
    image: diguage/01-get-started:part2
    deploy:
      replicas: 5
      resources:
        limits:
          cpus: "0.1"
          memory: 50M
      restart_policy:
        condition: on-failure
    ports:
      - "4000:80"
    networks:
      - webnet
networks:
  webnet:

docker swarm init

docker stack deploy -c docker-compose.yml getstartedlab

docker service ls

# view all services associated with the getstartedlab stack:
docker stack services getstartedlab

# List the tasks for your service:
docker service ps getstartedlab_web

# 仅仅列出 Container ID
docker container ls -q

# 查看状态
docker stack ps getstartedlab

# Scale the app： 修改副本数量。
docker stack deploy -c docker-compose.yml getstartedlab
# 扩容的时候为什么要杀掉原来的 container？有业务正在处理的节点是怎么处理的？

# Take the app down
docker stack rm getstartedlab

# Take down the swarm.
docker swarm leave --force

# 创建 machine
docker-machine create --driver virtualbox myvm1
docker-machine create --driver virtualbox myvm2


docker-machine ls

# 设置 manager 节点
docker-machine ssh myvm1 "docker swarm init --advertise-addr <myvm1 ip>"
# 输出时，会含有如下命令
docker swarm join --token SWMTKN-1-5dbcodziijckk71tyfayg7ihm4tul2q57974xnf7akx4jmi6qy-6hlxao9pt2bi8as94k4uysqn0 192.168.99.100:2377

# 这里的 Token 是由上面生成的。
docker-machine ssh myvm2 "docker swarm join --token SWMTKN-1-5dbcodziijckk71tyfayg7ihm4tul2q57974xnf7akx4jmi6qy-6hlxao9pt2bi8as94k4uysqn0 192.168.99.100:2377"

# Run `docker node ls` on the manager to view the nodes in this swarm:
docker-machine ssh myvm1 "docker node ls"

# TODO  如何离开？
// If you want to start over, you can run docker swarm leave from each node. 这句话怎么理解？
// docker-machine ssh myvm1 "docker swarm leave"

# 配置
$ docker-machine env myvm1
export DOCKER_TLS_VERIFY="1"
export DOCKER_HOST="tcp://192.168.99.100:2376"
export DOCKER_CERT_PATH="/Users/diguage/.docker/machine/machines/myvm1"
export DOCKER_MACHINE_NAME="myvm1"
# Run this command to configure your shell:
# eval $(docker-machine env myvm1)

# 执行这条命令配置 Shell
eval $(docker-machine env myvm1)

# 现在 myvm1 被激活了
docker-machine ls

# 部署应用（上文中的端口号是 4000:80，这里保持不变。官方文档中漏提了需要修改端口号。）
docker stack deploy -c docker-compose.yml getstartedlab

# 如果成功的话，这可以也看到 副本集 分子和分母相等。
docker service ls

# 访问
curl http://192.168.99.100:4000
# 每次 `docker-machine create` IP 地址会增加

# 删除
docker stack rm getstartedlab

# 清除配置
eval $(docker-machine env -u)

# 启动
docker-machine start <machine-name>

# 删除
docker-machine rm <machine-name>

# 修改 docker-compose.yml 增加服务定义，然后发布
docker stack deploy -c docker-compose.yml getstartedlab

# 查看服务状态
docker stack services getstartedlab

# 查看服务中的容器状态
docker stack ps getstartedlab

# 部署 Redis 之前，需要在 manager 节点创建相关目录
docker-machine ssh myvm1 "mkdir ./data"

# 关闭服务
docker stack rm getstartedlab

version: "3"
services:
  web:
    image: diguage/01-get-started:part2
    deploy:
      replicas: 5
      resources:
        limits:
          cpus: "0.1"
          memory: 50M
      restart_policy:
        condition: on-failure
    ports:
      - "4000:80"
    networks:
      - webnet
  visualizer:
    image: dockersamples/visualizer:stable
    ports:
      - "8080:8080"
    volumes:
      - "/var/run/docker.sock:/var/run/docker.sock"
    deploy:
      placement:
        constraints: [node.role == manager]
    networks:
      - webnet
networks:
  webnet:

# 部署 Redis 之前，需要在 manager 节点创建相关目录
docker-machine ssh myvm1 "mkdir ./data" (1)

version: "3"
services:
  web:
    image: diguage/01-get-started:part2
    deploy:
      replicas: 5
      resources:
        limits:
          cpus: "0.1"
          memory: 50M
      restart_policy:
        condition: on-failure
    ports:
      - "4000:80"
    networks:
      - webnet
  visualizer:
    image: dockersamples/visualizer:stable
    ports:
      - "8080:8080"
    volumes:
      - "/var/run/docker.sock:/var/run/docker.sock"
    deploy:
      placement:
        constraints: [node.role == manager]
    networks:
      - webnet
  redis:
    image: redis
    ports:
      - "6379:6379"
    volumes:
      - "/home/docker/data:/data"
    deploy:
      placement:
        constraints: [node.role == manager]
    command: redis-server --appendonly yes
    networks:
      - webnet
networks:
  webnet: