Docker实现客户端无感更新测试-jenkins pipeline流水线版本化发布更新

1.制作2个jar-srpingboot demo包
这里我分享现成的jar包 

2. 编写Dockerfile
FROM java:alpine
RUN mkdir -p /app
WORKDIR /app
EXPOSE 8080
ENV LANG en_US.UTF-8
#RUN apk add --update --no-cache ttf-dejavu fontconfig && rm -rf /var/cache/apk/*
ADD demo.jar ./demo.jar
ENTRYPOINT ["java","-Djava.security.egd=file:/dev/./urandom","-jar","/app/demo.jar"]

3.构建镜像
docker build -t demo:v1.0 .

4.运行容器
docker container run -dit -p:8080 -m 1G  -e "SPRING_PROFILES_ACTIVE=test" -e "SERVICE_IP=内/外网IP" -e "SERVICE_CHECK_HTTP=/actuator/health/" --name demo demo:v1.0 /bin/bash

5.检测consul注册服务情况

6.浏览器输入域名
轮询获取2个jar输出内容

再刷新就只获取jar包2 因为jar包1停了 ，那么在jar包1停的时候程序自动更换获取到jar包2的过程并没有发生客户端异常就说明滚动无感更新成功

nginx配置如下：
upstream demoapi {
     server 127.0.0.1:2365;
     upsync 127.0.0.1:8500/v1/catalog/service/demo upsync_timeout=20m upsync_interval=500ms upsync_type=consul_services strong_dependency=off;
     upsync_dump_path /etc/nginx/servers/www.demo.com.conf;
     check interval=3000 rise=2 fall=5 timeout=10000;
         keepalive 20000;
}
server {
    listen 80;
    server_name demo.xxx.com;
    large_client_header_buffers 4 128k;
    location / {
        client_body_buffer_size 1024k;
        client_max_body_size    0;
        proxy_connect_timeout 300s;
        proxy_send_timeout   900;
        proxy_read_timeout   900;
        proxy_buffer_size    64k;
        proxy_buffers      4 32k;
        proxy_busy_buffers_size 64k;
        proxy_redirect     off;
        proxy_hide_header  Vary;
        proxy_set_header   Accept-Encoding '';
        proxy_set_header   Host   $host;
        proxy_set_header   Referer $http_referer;
        proxy_set_header   Cookie $http_cookie;
        proxy_set_header   X-Real-IP  $remote_addr;
        proxy_set_header   X-Forwarded-For  $proxy_add_x_forwarded_for;
        proxy_buffering    off;
        proxy_headers_hash_max_size 51200;
        proxy_headers_hash_bucket_size 6400;
        proxy_temp_file_write_size   64k;
        proxy_http_version 1.1;
        proxy_set_header Connection "";
        proxy_pass http://demoapi/;
    }
}

jenkins pipeline流水线版本化发布更新 —-后续可以把打好的包传到指定多台服务器上然后依次主机上去docker run容器 更新发布从而实现无感发布更新 -可以通过ansible 或者 shell脚本 或者pipeline自带

node {
// 拉取代码
stage('Prepare Stage') {
echo "1.GIT Prepare Stage"
branches: [[name: '${tag}']]
git branch: 'test', credentialsId: 'xxx-xx-4', url: 'git@git.code.tencent.com:gzlle-biz-api/xxx-xxx.git'
}
// 代码编译
stage('Gradle Build') {
sh '''
cd /www/code/imagine-bms/ && git branch -a && git pull && gradle bootJar && 
mv /www/imagine-bms/imagine-bms.jar /www/imagine-bms/imagine-bms.jar.old &&
mv /www/code/imagine-bms/build/libs/imagine-bms-1.0.1.jar /www/imagine-bms/imagine-bms.jar
'''
}
// 项目打包到镜像并推送到镜像仓库
stage('Build and Push Image') {
sh '''
cd /www/imagine-bms/ && pwd
REPOSITORY=10.0.1.15/library/imagine-bms:${tag}
cat > Dockerfile

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