docker-swarm学习

swarm :多主机 多容器管理

在docker 1.13中，集成了docker swarm命令

如果你看到要单独起swar容器docker run swarm，那说明是老版的

先安装docker-machine docker-compose，docker三剑客一起搞基

安装Docker Machine（Linux）

curl -L https://github.com/docker/machine/releases/download/v0.9.0-rc2/docker-machine-`uname -s`-`uname -m` >/tmp/docker-machine && chmod +x /tmp/docker-machine && sudo cp /tmp/docker-machine /usr/local/bin/docker-machine

安装Docker compose

pip install docker-compose

好了，工具准备好了，我们正式开始：
集群主要架构：3个worker，2个manager

# 创建管理节点
docker-machine create --driver virtualbox manager1
docker-machine create --driver virtualbox manager2

# 创建工作节点
docker-machine create --driver virtualbox worker1
docker-machine create --driver virtualbox worker2
docker-machine create --driver virtualbox worker3

查看环境变量

docker-machine env manager1
docker-machine ip manager1
docker-machine ssh manager1 “command”  # 连接manager1运行命令

创建集群

docker-machine ssh manager1 docker swarm init --listen-addr 192.168.99.101:2377 --advertise-addr 192.168.99.101

id 用manager1的ip

你会看到返回一条命令，连入其他主机运行该命令（啥也不用改）就能以worker身份加入集群

docker-machine ssh worker1 docker swarm join --token SWMTKN-1-3z5rzoey0u6onkvvm58f7vgkser5d7z8sfshlu7s4oz2gztlvj-c036gwrakjejql06klrfc585r 192.168.99.101:2377
docker-machine ssh worker2 docker swarm join --token SWMTKN-1-3z5rzoey0u6onkvvm58f7vgkser5d7z8sfshlu7s4oz2gztlvj-c036gwrakjejql06klrfc585r 192.168.99.101:2377
docker-machine ssh worker3 docker swarm join --token SWMTKN-1-3z5rzoey0u6onkvvm58f7vgkser5d7z8sfshlu7s4oz2gztlvj-c036gwrakjejql06klrfc585r 192.168.99.101:2377

查看节点

docker-machine ssh manager1 docker node ls

查看是否加入成功

下面加入管理节点

# 获取manage token
docker-machine ssh manager1 docker swarm join-token manager
# 运行命令
docker-machine ssh manager2 docker swarm join --token SWMTKN-1-3z5rzoey0u6onkvvm58f7vgkser5d7z8sfshlu7s4oz2gztlvj-c036gwrakjejql06klrfc585r 192.168.99.101:2377

再次查看节点

docker-machine ssh manager1 docker node ls

查看是否加入成功

下面用几个命令熟悉一下：

# 创建一个overlay网络
docker network create --driver overlay swarm_test

# pull镜像到节点
docker-machine ssh manager1 docker pull nginx:alpine

# 多节点使用swarm_test组成一组服务
docker service create --replicas 2 --name helloworld --network=swarm_test nginx:alpine
--replicas 启动几个容器

# 查看服务状态
docker service ls

# 查看 helloworld 服务详情
docker service ps helloworld

# 进入节点查看
docker-machine ssh manager1 docker ps -a

# 进入节点1执行ping命令节点2：
docker-machine ssh manager1 docker exec -i helloworld.1.ay081uome3eejeg4mspa8pdlx 
ping helloworld.2.16cvore0c96rby1vp0sny3mvt
ssh连上集群，exec进入容器 运行ping命令

# 删除服务
docker service rm helloworld

# 新建端口映射的服务
docker service create --replicas 2 --name helloworld -p 7080:80 --network=swarm_test nginx:alpine

# 杀死节点
docker-machine ssh worker2 docker kill helloworld.2.7acmhj0udzusv1d7lu2tbuhu4

# 启动3个节点
docker service scale helloworld=3

下面用docker-compose运行一个投票网站:
在当前目录新建文件

version: "3"
services:

  redis:
    image: redis:alpine
    ports:
      - "6379"
    networks:
      - frontend
    deploy:
      replicas: 2
      update_config:
        parallelism: 2
        delay: 10s
      restart_policy:
        condition: on-failure
  db:
    image: postgres:9.4
    volumes:
      - db-data:/var/lib/postgresql/data
    networks:
      - backend
    deploy:
      placement:
        constraints: [node.role == manager]
  vote:
    image: dockersamples/examplevotingapp_vote:before
    ports:
      - 5000:80
    networks:
      - frontend
    depends_on:
      - redis
    deploy:
      replicas: 2
      update_config:
        parallelism: 2
      restart_policy:
        condition: on-failure
  result:
    image: dockersamples/examplevotingapp_result:before
    ports:
      - 5001:80
    networks:
      - backend
    depends_on:
      - db
    deploy:
      replicas: 2
      update_config:
        parallelism: 2
        delay: 10s
      restart_policy:
        condition: on-failure

  worker:
    image: dockersamples/examplevotingapp_worker
    networks:
      - frontend
      - backend
    deploy:
      mode: replicated
      replicas: 1
      labels: [APP=VOTING]
      restart_policy:
        condition: on-failure
        delay: 10s
        max_attempts: 3
        window: 120s

  visualizer:
    image: dockersamples/visualizer:stable
    ports:
      - "8080:8080"
    stop_grace_period: 1m30s
    volumes:
      - "/var/run/docker.sock:/var/run/docker.sock"
    deploy:
      placement:
        constraints: [node.role == manager]

networks:
  frontend:
  backend:

volumes:
  db-data:

# 拷贝文件到集群
docker-machine scp docker-compose.yml manager1:~

# 部署
docker-machine ssh manager1 "docker stack deploy -c docker-compose.yml vote"

# 启动情况
docker-machine ssh manager1 "docker stack ps vote"

访问网站：
ip:5000
ip:5001
ip:8080

附上官网上的命令：

docker-machine create --driver virtualbox myvm1 # Create a VM (Mac, Win7, Linux)
docker-machine create -d hyperv --hyperv-virtual-switch "myswitch" myvm1 # Win10
docker-machine env myvm1 # View basic information about your node
docker-machine ssh myvm1 "docker node ls" # List the nodes in your swarm
docker-machine ssh myvm1 "docker node inspect <node ID>" # Inspect a node
docker-machine ssh myvm1 "docker swarm join-token -q worker" # View join token
docker-machine ssh myvm1 # Open an SSH session with the VM; type "exit" to end
docker-machine ssh myvm2 "docker swarm leave" # Make the worker leave the swarm
docker-machine ssh myvm1 "docker swarm leave -f" # Make master leave, kill swarm
docker-machine start myvm1 # Start a VM that is currently not running
docker-machine stop $(docker-machine ls -q) # Stop all running VMs
docker-machine rm $(docker-machine ls -q) # Delete all VMs and their disk images
docker-machine scp docker-compose.yml myvm1:~ # Copy file to node's home dir
docker-machine ssh myvm1 "docker stack deploy -c <file> <app>" # Deploy an app