springcloud部署——docker和docker-compose
最近一直在研究微服务的东西，发现微服务项目的部署运维比较麻烦，经过几天终于完整的把一套微服务部署了起来，这期间真是遇到太多问题，虽然最终觉得都不是什么大问题，但是这个过程总是艰难的，还好硬着头皮坚持了下来。本篇文章的项目是用了一个开源项目，对其进行了改造，是一个很不错的微服务学习开源项目，推荐一下：地址为https://gitee.com/wells2333/spring-microservice-exam/tree/master
当然本篇文章主要是总结下如何部署微服务的，传统的方式就是打jar或者war的方式运行项目，但是微服务的分支比较多，如何还按照原来的方式进行部署，那就太麻烦了，所以用docker部署的方式。
项目主要是用consul作为的注册中心，docker部署用的是集群版的，当然可以使用远程地址，但是在部署的时候一定要记得修改地址，地址的所有配置都是宿主机的地址，如下：
compose进行项目部署的编排
详细的说明见博主的地址：http://ehedgehog.net/2019/04/22/%E5%9C%A8%E7%BA%BF%E8%80%83%E8%AF%95%E7%B3%BB%E7%BB%9FV2.0%E9%95%9C%E5%83%8F%E6%9E%84%E5%BB%BA%E3%80%81%E6%8E%A8%E9%80%81%E3%80%81%E9%83%A8%E7%BD%B2/
编排文件如下：
命令执行文件：
docker-compose.env（一些基础的配置信息）
# JVM参数
# 可通过docker-compose -f docker-compose-services.yml config命令查看是否生效
JAVA_OPTS=-Xmx128m -Xms128m
# 租户标识，默认gitee
TENANT_CODE=gitee
# 网关token转换
GATEWAY_TOKEN_TRANSFER=false
# 环境配置
SPRING_PROFILES_ACTIVE=native
# consul配置
CONSUL_HOST=172.28.162.113
CONSUL_PORT=8500
# rabbitMq配置
RABBIT_HOST=172.28.162.113
RABBIT_PORT=5672
RABBITMQ_DEFAULT_USER=guest
RABBITMQ_DEFAULT_PASS=guest
# Redis配置
REDIS_HOST=172.28.162.113
REDIS_PORT=6379
# 数据库配置
MYSQL_HOST=172.28.158.98
MYSQL_PORT=3306
MYSQL_USERNAME=root
MYSQL_PASSWORD=123
# FDFS配置
#FDFS_HOST=fdfs
#FDFS_PORT=22122
# 配置中心的账号密码
CONFIG_SERVER_USERNAME=admin
CONFIG_SERVER_PASSWORD=11
# 附件服务器配置
#ATTACHMENT_HOST=http://attachment-service:8080
#ATTACHMENT_PORT=80
# 各服务host配置
CONFIG_SERVICE_HOST=172.28.162.113
AUTH_SERVICE_HOST=172.28.162.113
EXAM_SERVICE_HOST=172.28.162.113
GATEWAY_SERVICE_HOST=172.28.162.113
MONITOR_SERVICE_HOST=172.28.162.113
USER_SERVICE_HOST=172.28.162.113
#CONFIG_SERVICE_HOST=config-service
#AUTH_SERVICE_HOST=auth-service
#EXAM_SERVICE_HOST=exam-service
#GATEWAY_SERVICE_HOST=gateway-service
#MONITOR_SERVICE_HOST=monitor-service
#USER_SERVICE_HOST=user-service
# 服务监控配置172.28.162.113
#ADMIN_HOST=monitor-service
ADMIN_HOST=172.28.162.113
ADMIN_PORT=8085
ADMIN_USERNAME=admin
ADMIN_PASSWORD=11
# zipkin配置
ZIPKIN_HOST=172.28.162.113
ZIPKIN_PORT=9411
# 演示环境
PREVIEW_ENABLED=false
# ID生成配置
CLUSTER_WORK_ID=1
CLUSTER_DATA_CENTER_ID=1
# 时区设置，否则容器里的时间和主机时间差8小时
TZ=Asia/Shanghai
# elk配置
#ELK_DESTINATION=localhost:5044docker-compose-base.yml（基础服务的编排，主要是config）
version: '3'
services:
# ---------------------------
# consul集群，3个节点
# ---------------------------
consul:
image: consul:1.2.0
container_name: consul
command: consul agent -server -client 0.0.0.0 -ui -bootstrap-expect=3 -data-dir=/consul/data -retry-join=consul2 -retry-join=consul3 -datacenter=blr
restart: always
ports:
- "8300:8300"
- "8400:8400"
- "8500:8500"
- "8600:8600/udp"
networks:
- net
consul2:
image: consul:1.2.0
container_name: consul-2
expose:
- "8500"
- "8600"
command: consul agent -server -data-dir=/consul/data -retry-join=consul -retry-join=consul3 -datacenter=blr
links:
- consul
networks:
- net
consul3:
image: consul:1.2.0
container_name: consul-3
expose:
- "8500"
- "8600"
command: consul agent -server -data-dir=/consul/data -retry-join=consul -retry-join=consul2 -datacenter=blr
links:
- consul
- consul2
networks:
- net
# ---------------------------
# rabbitMq
# ---------------------------
rabbit:
image: rabbitmq:3.6.6-management-alpine
container_name: rabbit-mq
restart: always
ports:
- "5672:5672"
- "15672:15672"
environment:
- RABBITMQ_DEFAULT_USER=guest
- RABBITMQ_DEFAULT_PASS=guest
networks:
- net
# ---------------------------
# Redis
# ---------------------------
redis:
image: redis:latest
container_name: redis
ports:
- "6379:6379"
networks:
- net
# ---------------------------
# 配置中心
# ---------------------------
config-service:
image: registry.cn-shenzhen.aliyuncs.com/lipf/config-service:3.2.0-SNAPSHOT
container_name: config-service
env_file: docker-compose.env # 从文件中获取配置
restart: always
depends_on:
- consul
- rabbit
- redis
ports:
- "8769:8769"
networks:
- net
networks:
net:
driver: bridgedocker-compose-services.yml(具体服务的编排)
version: '3'
services:
# ---------------------------
# 授权服务
# ---------------------------
auth-service:
image: registry.cn-shenzhen.aliyuncs.com/lipf/auth-service:3.2.0-SNAPSHOT
container_name: auth-service
env_file: docker-compose.env # 从文件中获取配置
restart: always
ports:
- "8090:8090"
networks:
- net
# ---------------------------
# 用户服务
# ---------------------------
user-service:
image: registry.cn-shenzhen.aliyuncs.com/lipf/user-service:3.2.0-SNAPSHOT
container_name: user-service
env_file: docker-compose.env # 从文件中获取配置
restart: always
ports:
- "8095:8095"
networks:
- net
# ---------------------------
# 考试服务
# ---------------------------
exam-service:
image: registry.cn-shenzhen.aliyuncs.com/lipf/exam-service:3.2.0-SNAPSHOT
container_name: exam-service
env_file: docker-compose.env # 从文件中获取配置
restart: always
ports:
- "8098:8098"
networks:
- net
# ---------------------------
# 消息服务
# ---------------------------
# msc-service:
# image: registry.cn-shenzhen.aliyuncs.com/lipf/msc-service:3.2.0-SNAPSHOT
# container_name: msc-service
# env_file: docker-compose.env # 从文件中获取配置
# restart: always
# ports:
# - "9000:9000"
# networks:
# - net
# ---------------------------
# 监控服务
# ---------------------------
# monitor-service:
# image: registry.cn-shenzhen.aliyuncs.com/lipf/monitor-service:3.2.0-SNAPSHOT
# container_name: monitor-service
# env_file: docker-compose.env # 从文件中获取配置
# restart: always
# ports:
# - "8085:8085"
# networks:
# - net
# ---------------------------
# api网关
# ---------------------------
gateway-service:
image: registry.cn-shenzhen.aliyuncs.com/lipf/gateway-service:3.2.0-SNAPSHOT
container_name: gateway-service
env_file: docker-compose.env # 从文件中获取配置
restart: always
ports:
- "8000:8000"
networks:
- net
networks:
net:
driver: bridgestart.sh（启动的脚本）
#!/bin/sh
# 配置文件根目录，固定是spring-microservice-exam
DOCKERHOME=/root/spring-microservice-exam
# 镜像名称前缀、标签
BASE_IMAGE_NAME=registry.cn-shenzhen.aliyuncs.com/lipf
BSEE_IMAGE_TAG=3.2.0-SNAPSHOT
# 各服务的镜像名称
CONFIG_SERVICE=$BASE_IMAGE_NAME/config-service:$BSEE_IMAGE_TAG
AUTH_SERVICE=$BASE_IMAGE_NAME/auth-service:$BSEE_IMAGE_TAG
USER_SERVICE=$BASE_IMAGE_NAME/user-service:$BSEE_IMAGE_TAG
EXAM_SERVICE=$BASE_IMAGE_NAME/exam-service:$BSEE_IMAGE_TAG
GATEWAY_SERVICE=$BASE_IMAGE_NAME/gateway-service:$BSEE_IMAGE_TAG
MSC_SERVICE=$BASE_IMAGE_NAME/msc-service:$BSEE_IMAGE_TAG
MONITOR_SERVICE=$BASE_IMAGE_NAME/monitor-service:$BSEE_IMAGE_TAG
#UI_SERVICE=$BASE_IMAGE_NAME/spring-microservice-exam-ui:$BSEE_IMAGE_TAG
#WEB_SERVICE=$BASE_IMAGE_NAME/spring-microservice-exam-web:$BSEE_IMAGE_TAG
case "$1" in
# 删除容器
removeAll)
echo "* 正在删除容器..."
time docker rm $(docker ps -aq) -f
echo "* 删除容器成功..."
;;
# 拉取镜像
pull)
echo "* 正在拉取后端镜像..."
time docker pull $CONFIG_SERVICE
time docker pull $AUTH_SERVICE
time docker pull $USER_SERVICE
time docker pull $EXAM_SERVICE
time docker pull $GATEWAY_SERVICE
time docker pull $MSC_SERVICE
time docker pull $MONITOR_SERVICE
# echo "* 开始拉取前端镜像..."
# time docker pull $UI_SERVICE
# time docker pull $WEB_SERVICE
echo "* 拉取镜像成功..."
;;
# 运行镜像
run)
echo "* 开始运行基础镜像..."
time docker-compose -f $DOCKERHOME/docker-compose-base.yml up -d
echo "* 等待100s..."
sleep 100
echo "* 开始运行后端服务镜像..."
time docker-compose -f $DOCKERHOME/docker-compose-services.yml up -d
echo "* 等待10s..."
sleep 10
#echo "* 开始运行前端服务镜像..."
#time docker-compose -f $DOCKERHOME/docker-compose-nginx.yml up -d
echo "* 运行成功..."
;;
# 拉取镜像并运行
pullrun)
echo "* 正在拉取后端镜像..."
time docker pull $CONFIG_SERVICE
time docker pull $AUTH_SERVICE
time docker pull $USER_SERVICE
time docker pull $EXAM_SERVICE
time docker pull $GATEWAY_SERVICE
time docker pull $MSC_SERVICE
time docker pull $MONITOR_SERVICE
#echo "* 开始拉取前端镜像..."
#time docker pull $UI_SERVICE
#time docker pull $WEB_SERVICE
echo "* 拉取镜像成功..."
echo "* 开始运行基础镜像..."
time docker-compose -f $DOCKERHOME/docker-compose-base.yml up -d
echo "* 等待100s..."
sleep 100
echo "* 开始运行后端服务镜像..."
time docker-compose -f $DOCKERHOME/docker-compose-services.yml up -d
echo "* 等待10s..."
sleep 10
# echo "* 开始运行前端服务镜像..."
# time docker-compose -f $DOCKERHOME/docker-compose-nginx.yml up -d
echo "* 运行成功..."
;;
# 停止容器
stop)
echo "* 正在停止容器..."
# time docker-compose -f $DOCKERHOME/docker-compose-nginx.yml stop
time docker-compose -f $DOCKERHOME/docker-compose-services.yml stop
time docker-compose -f $DOCKERHOME/docker-compose-base.yml stop
echo "* 停止容器成功..."
;;
# 重启容器
restart)
echo "* 正在停止镜像..."
# time docker-compose -f $DOCKERHOME/docker-compose-nginx.yml restart
time docker-compose -f $DOCKERHOME/docker-compose-services.yml restart
time docker-compose -f $DOCKERHOME/docker-compose-base.yml restart
;;
# 其它
*)
echo "* ..."
;;
esac
exit 0部署过程中用到的一些命令：
【1】推送镜像
通过maven上传镜像到阿里云
在项目的根目录下执行
mvn防止内存溢出
set MAVEN_OPTS= -Xms128m -Xmx512m
mvn clean package【2】容器的一些简单命令
docker ps // 查看所有正在运行容器
docker stop containerId // containerId 是容器的ID
docker ps -a // 查看所有容器
docker ps -a -q // 查看所有容器ID
docker stop $(docker ps -a -q) // stop停止所有容器
docker rm $(docker ps -a -q) // remove删除所有容器
【3】查看容器日志
docker logs -f -t --tail -f consul
docker logs -f -t --tail -f config-service
docker logs -f -t --tail -f auth-service
docker logs -f -t --tail -f user-service
docker logs -f -t --tail -f exam-service
docker logs -f -t --tail -f gateway-service【4】脚本命令
停止容器：./start.sh stop
删除所有容器：./start.sh removeAll
重启所有容器：./start.sh restart
拉取并启动：./start.sh pullrun
命令启动结果（在拉取镜像运行容器之前要先上传镜像哦）：
启动后的结果：
【5】登录阿里云命令
docker login --username=username registry.cn-shenzhen.aliyuncs.com
【6】安装compose
遇到的问题：
【1】该问题就是因为由于地址没有配置成功导致的网络不通，报了如下两个错误
如果consul是容器部署的，就会显示上述容器，如果是远程地址就会显示地址，建议生产环境用docker集成consul，开发的时候可以再本地使用远程地址，配置远程地址的时候子项目中指定（如果是docker下的consul就不需要指定也可以）如图下：
项目中配置的时候只需要配置集群中的一个地址就行。
【2】在consul的节点监控中有的显示超时net/http:request cancel (Client.Timeout exceeded while awaiting headers)
这种错误的本质就是网络不通导致的，说白了还是因为服务不通导致的，要检查服务的consul地址以及服务容器是否正常启动