lmingzhi618/orderservice

通过docker 的 swarm 功能，可以将应用分布式部曙到几个机器上（物理/虚拟机均可）

此处通过虚拟机部曙

一. 创建虚拟机并配置节点

1. 创建两台虚拟机

$ docker-machine create --driver virtualbox myvm1

$ docker-machine create --driver virtualbox myvm2

2. 查看 vm machine 信息

$ docker-machine ls

NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS

myvm1 - virtualbox Running tcp://192.168.99.100:2376 v17.06.2-ce

myvm2 - virtualbox Running tcp://192.168.99.101:2376 v17.06.2-ce

3. 配置myvm1为 manager 节点

$ docker-machine ssh myvm1 "docker swarm init --advertise-addr "

Swarm initialized: current node is now a manager.

To add a worker to this swarm, run the following command:

docker swarm join \

--token \

:

To add a manager to this swarm, run 'docker swarm join-token manager' and follow the instructions.

4. 添加 worker 节点

$ docker-machine ssh myvm2 "docker swarm join \

--token \

:2377"

This node joined a swarm as a worker.

5. 查看节点信息

$ docker-machine ssh myvm1 "docker node ls"

ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS

i8dvxx0ct3p7au19oaknd5nsq * myvm1 Ready Active Leader 18.06.0-ce

vkbvfxkoijs0mv1w7fg4ru8rp myvm2 Ready Active 18.06.0-ce

二. 制作并部曙服务

1. 制作好image

1.1 docker build -t mysql_order ../db

1.2 docker build -t orderservice .

2. 登录 docker

$ docker login

3. 上传image到docker

$ docker tag orderservice mingzhi198/orderservice

4. 部曙到 swarm

$ docker stack deploy -c docker-compose.yml order_svr

5. 关闭swarm服务

$ docker stack rm order_svr

6. 也可不创建vm部曙服务，区别为container都跑在本机上

7. 为减小image的尺寸，用scratch代替golang基础包, 区别请对比image_golang/Dockerfile

================================================================================ 因为国内网络及google配额问题，用腾讯地图api 建议在linux/mac 下运行该服务

1. 确保已经安装好docker

2. 运行脚本 sh start.sh 部署服务

3. 本地测试命令

    curl 'localhost:8080/order' -d '
    {
        "origin": ["39.983171", "116.308479"],
        "destination": ["39.99606", "116.353455"]
    }'
    
    curl -X PUT 'localhost:8080/order/10' -d '
    {
        "status":"taken"
    }'

    curl 'localhost:8080/orders?page=1&limit=5'