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  • K8S(09)交付实战-通过流水线构建dubbo服务

    k8s交付实战-流水线构建dubbo服务

    1 jenkins流水线准备工作

    1.1 参数构建要点

    jenkins流水线配置的java项目的十个常用参数:

    参数名 作用 举例或说明
    app_name 项目名 dubbo_demo_service
    image_name docker镜像名 app/dubbo-demo-service
    git_repo 项目的git地址 https://x.com/x/x.git
    git_ver 项目的git分支或版本号 master
    add_tag 镜像标签,常用时间戳 191203_1830
    mvn_dir 执行mvn编译的目录 ./
    target_dir 编译产生包的目录 ./target
    mvn_cmd 编译maven项目的命令 mvc clean package -Dmaven.
    base_image 项目的docker底包 不同的项目底包不一样,下拉选择
    maven maven软件版本 不同的项目可能maven环境不一样

    除了base_image和maven是choice parameter,其他都是string parameter

    1.2 创建流水线

    1.2.1 创建流水线

    创建名为dubbo-demo的流水线(pipeline),并设置Discard old builds 为如下

    Discard old builds选项
    Days to keep builds 3
    Max # of builds to keep 30

    1.2.2 添加10个构建参数

    This project is parameterized点击Add Parameter,分别添加如下10个参数

    #第1个参数
    参数类型 : String Parameter
    Name : app_name
    Description : 项目名 eg:dubbo-demo-service
    
    #第2个参数
    参数类型 : String Parameter
    Name : image_name
    Description : docker镜像名 eg: app/dubbo-demo-service
    
    #第3个参数
    参数类型 : String Parameter
    Name : git_repo
    Description : 仓库地址 eg: https://gitee.com/xxx/xxx.git
    
    #第4个参数
    参数类型 : String Parameter
    Name : git_ver
    Description : 项目的git分支或版本号
    
    #第5个参数
    参数类型 : String Parameter
    Name : add_tag
    Description : 
    给docker镜像添加标签组合的一部分,如
    $git_ver_$add_tag=master_191203_1830
    
    #第6个参数
    参数类型 : String Parameter
    Name : mvn_dir
    Default Value : ./
    Description : 执行mvn编译的目录,默认是项目根目录, eg: ./
    
    #第7个参数
    参数类型 : String Parameter
    Name : target_dir
    Default Value : ./target
    Description : 编译产生的war/jar包目录 eg: ./dubbo-server/target
    
    #第8个参数
    参数类型 : String Parameter
    Name : mvn_cmd
    Default Value : mvn clean package -Dmaven.test.skip=true
    Description : 编译命令,常加上-e -q参数只输出错误
    
    #第9个参数
    参数类型 : Choice Parameter
    Name : base_image
    Choices :
    base/jre7:7u80
    base/jre8:8u112
    Description : 项目的docker底包
    
    #第10个参数
    参数类型 : Choice Parameter
    Name : maven
    Choices :
    3.6.1
    3.2.5
    2.2.1
    Description : 执行编译使用maven软件版本
    

    1.2.3 添加完成效果如下:

    mark

    1.2.4 添加pipiline代码

    流水线构建所用的pipiline代码语法比较有专门的生成工具
    以下语句的作用大致是分为四步:拉代码->构建包->移动包-打docker镜像并推送

    pipeline {
      agent any 
        stages {
          stage('pull') { //get project code from repo 
            steps {
              sh "git clone ${params.git_repo} ${params.app_name}/${env.BUILD_NUMBER} && cd ${params.app_name}/${env.BUILD_NUMBER} && git checkout ${params.git_ver}"
            }
          }
          stage('build') { //exec mvn cmd
            steps {
              sh "cd ${params.app_name}/${env.BUILD_NUMBER}  && /var/jenkins_home/maven-${params.maven}/bin/${params.mvn_cmd}"
            }
          }
          stage('package') { //move jar file into project_dir
            steps {
              sh "cd ${params.app_name}/${env.BUILD_NUMBER} && cd ${params.target_dir} && mkdir project_dir && mv *.jar ./project_dir"
            }
          }
          stage('image') { //build image and push to registry
            steps {
              writeFile file: "${params.app_name}/${env.BUILD_NUMBER}/Dockerfile", text: """FROM harbor.zq.com/${params.base_image}
    ADD ${params.target_dir}/project_dir /opt/project_dir"""
              sh "cd  ${params.app_name}/${env.BUILD_NUMBER} && docker build -t harbor.zq.com/${params.image_name}:${params.git_ver}_${params.add_tag} . && docker push harbor.zq.com/${params.image_name}:${params.git_ver}_${params.add_tag}"
            }
          }
        }
    }
    

    img

    1.3 用流水线完成dubbo-service的构建

    记得先在harbor中创建私有仓库app

    1.3.1 选择参数化构建

    进入dubbo-demo后,选择的参数化构建build with parameters ,填写10个构建的参数

    参数名 参数值
    app_name dubbo-demo-service
    image_name app/dubbo-demo-service
    git_repo https://gitee.com/noah-luo/dubbo-demo-service.git
    git_ver master
    add_tag 200509_0800
    mvn_dir ./
    target_dir ./dubbo-server/target
    mvn_cmd mvn clean package -Dmaven.test.skip=true
    base_image base/jre8:8u112
    maven 3.6.1

    1.3.2 填写完成效果如下

    mark

    1.3.3 执行构建并检查

    填写完以后执行bulid
    第一次构建需要下载很多依赖包,时间很长,抽根烟,喝杯茶
    经过漫长的等待后,已经构建完成了
    点击打开 Blue Ocean查看构建历史及过程:

    img

    检查harbor是否已经有这版镜像:

    mark

    2 交付dubbo-service到k8s

    2.1 准备资源清单

    创建清单操作都在7.200上操作

    mkdir /data/k8s-yaml/dubbo-server/
    cd /data/k8s-yaml/dubbo-server
    

    2.1.1 创建depeloy清单

    cat >dp.yaml <<EOF
    kind: Deployment
    apiVersion: extensions/v1beta1
    metadata:
      name: dubbo-demo-service
      namespace: app
      labels: 
        name: dubbo-demo-service
    spec:
      replicas: 1
      selector:
        matchLabels: 
          name: dubbo-demo-service
      template:
        metadata:
          labels: 
            app: dubbo-demo-service
            name: dubbo-demo-service
        spec:
          containers:
          - name: dubbo-demo-service
            image: harbor.zq.com/app/dubbo-demo-service:master_200509_0800
            ports:
            - containerPort: 20880
              protocol: TCP
            env:
            - name: JAR_BALL
              value: dubbo-server.jar
            imagePullPolicy: IfNotPresent
          imagePullSecrets:
          - name: harbor
          restartPolicy: Always
          terminationGracePeriodSeconds: 30
          securityContext: 
            runAsUser: 0
          schedulerName: default-scheduler
      strategy:
        type: RollingUpdate
        rollingUpdate: 
          maxUnavailable: 1
          maxSurge: 1
      revisionHistoryLimit: 7
      progressDeadlineSeconds: 600
    EOF
    

    需要根据自己构建镜像的tag来修改image
    dubbo的server服务,只向zk注册并通过zk与dobbo的web交互,不需要对外提供服务
    因此不需要service资源和ingress资源

    2.2 创建k8s资源

    创建K8S资源的操作,在任意node节点上操作即可

    2.2.1 创建app名称空间

    业务资源和运维资源等应该通过名称空间来隔离,因此创建专有名称空间app

    kubectl create namespace app
    

    2.2.2 创建secret资源

    我们的业务镜像是harbor中的私有项目,所以需要创建docker-registry的secret资源:

    kubectl -n app 
        create secret docker-registry harbor 
        --docker-server=harbor.zq.com 
        --docker-username=admin 
        --docker-password=Harbor12345
    

    2.2.3 应用资源清单

    kubectl apply -f http://k8s-yaml.zq.com/dubbo-server/dp.yaml
    

    3分钟后检查启动情况

    # 检查pod是否创建:
    ~]# kubectl -n app get pod
    NAME                                  READY   STATUS    RESTARTS   AGE
    dubbo-demo-service-79574b6879-cxkls   1/1     Running   0          24s
    
    # 检查是否启动成功:
    ~]# kubectl -n app logs dubbo-demo-service-79574b6879-cxkls --tail=2
    Dubbo server started
    Dubbo 服务端已经启动
    

    到zk服务器检查是否有服务注册

    sh /opt/zookeeper/bin/zkCli.sh
    [zk: localhost:2181(CONNECTED) 0] ls /
    [dubbo, zookeeper]
    [zk: localhost:2181(CONNECTED) 1] ls /dubbo
    [com.od.dubbotest.api.HelloService]
    

    3 交付dubbo-monitor监控服务到k8s

    dobbo-monitor源码地址: https://github.com/Jeromefromcn/dubbo-monitor.git
    dubbo-monitor是监控zookeeper状态的一个服务,另外还有dubbo-admin,效果一样

    3.1 制作dobbo-monitor镜像

    制作镜像在管理机7.200上操作

    3.1.1 下载源码

    cd /opt/src
    wget https://github.com/Jeromefromcn/dubbo-monitor/archive/master.zip
    yum -y install unzip
    unzip master.zip
    mv dubbo-monitor-mster /data/dockerfile/dubbo-monitor
    cd  /data/dockerfile/dubbo-monitor
    

    3.1.2 修改配置文件:

    直接覆盖它原始的配置
    其实它原本就没什么内容,只是修改了addr,端口,目录等

    cat >dubbo-monitor-simple/conf/dubbo_origin.properties <<'EOF'
    dubbo.container=log4j,spring,registry,jetty
    dubbo.application.name=simple-monitor
    dubbo.application.owner=
    dubbo.registry.address=zookeeper://zk1.zq.com:2181?backup=zk2.zq.com:2181,zk3.zq.com:2181
    dubbo.protocol.port=20880
    dubbo.jetty.port=8080
    dubbo.jetty.directory=/dubbo-monitor-simple/monitor
    dubbo.statistics.directory=/dubbo-monitor-simple/statistics
    dubbo.charts.directory=/dubbo-monitor-simple/charts
    dubbo.log4j.file=logs/dubbo-monitor.log
    dubbo.log4j.level=WARN
    EOF
    

    3.1.3 优化Dockerfile启动脚本

    # 修改jvm资源限制(非必须)
    sed -i '/Xmx2g/ s#128m#16m#g' ./dubbo-monitor-simple/bin/start.sh
    sed -i '/Xmx2g/ s#256m#32m#g' ./dubbo-monitor-simple/bin/start.sh
    sed -i '/Xmx2g/ s#2g#128m#g'  ./dubbo-monitor-simple/bin/start.sh
    
    # 修改nohup为exec不能改去掉改行最后的&符号
    sed -ri 's#^nohup(.*) &#exec1#g' ./dubbo-monitor-simple/bin/start.sh
    
    # 删除exec命令行后面所有行
    sed -i '66,$d'  ./dubbo-monitor-simple/bin/start.sh
    

    3.1.4 构建并上传

    docker build . -t harbor.zq.com/infra/dubbo-monitor:latest
    docker push       harbor.zq.com/infra/dubbo-monitor:latest
    

    3.2 创建资源配置清单

    3.2.1 准备目录

    mkdir /data/k8s-yaml/dubbo-monitor
    cd /data/k8s-yaml/dubbo-monitor
    

    3.2.2 创建deploy资源文件

    cat >dp.yaml <<EOF
    kind: Deployment
    apiVersion: extensions/v1beta1
    metadata:
      name: dubbo-monitor
      namespace: infra
      labels: 
        name: dubbo-monitor
    spec:
      replicas: 1
      selector:
        matchLabels: 
          name: dubbo-monitor
      template:
        metadata:
          labels: 
            app: dubbo-monitor
            name: dubbo-monitor
        spec:
          containers:
          - name: dubbo-monitor
            image: harbor.zq.com/infra/dubbo-monitor:latest
            ports:
            - containerPort: 8080
              protocol: TCP
            - containerPort: 20880
              protocol: TCP
            imagePullPolicy: IfNotPresent
          imagePullSecrets:
          - name: harbor
          restartPolicy: Always
          terminationGracePeriodSeconds: 30
          securityContext: 
            runAsUser: 0
          schedulerName: default-scheduler
      strategy:
        type: RollingUpdate
        rollingUpdate: 
          maxUnavailable: 1
          maxSurge: 1
      revisionHistoryLimit: 7
      progressDeadlineSeconds: 600
    EOF
    

    3.2.3 创建service资源文件

    cat >svc.yaml <<EOF
    kind: Service
    apiVersion: v1
    metadata: 
      name: dubbo-monitor
      namespace: infra
    spec:
      ports:
      - protocol: TCP
        port: 8080
        targetPort: 8080
      selector: 
        app: dubbo-monitor
    EOF
    

    3.2.4 创建ingress资源文件

    cat >ingress.yaml <<EOF
    kind: Ingress
    apiVersion: extensions/v1beta1
    metadata: 
      name: dubbo-monitor
      namespace: infra
    spec:
      rules:
      - host: dubbo-monitor.zq.com
        http:
          paths:
          - path: /
            backend: 
              serviceName: dubbo-monitor
              servicePort: 8080
    EOF
    

    3.3 创建dobbo-miniotr服务

    3.3.1 应用资源配置清单

    在任意node节点

    kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/dp.yaml
    kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/svc.yaml
    kubectl apply -f http://k8s-yaml.zq.com/dubbo-monitor/ingress.yaml
    

    验证:

    ~]# kubectl -n infra get pod
    NAME                            READY   STATUS    RESTARTS   AGE
    dubbo-monitor-d9675688c-sctsx   1/1     Running   0          29s
    jenkins-7cd8b95d79-6vrbn        1/1     Running   0          3d2h
    

    3.3.2 添加dns解析

    这个服务是有web页面的,创建了ingress和service资源的,所以需要添加dns解析

    vi /var/named/zq.com.zone
    dobbo-monitor		A    10.4.7.10
    

    重启并验证

    systemctl restart named
    dig -t A dubbo-monitor.zq.com @10.4.7.11 +short
    

    3.3.3 访问monitor的web页面

    访问dubbo-monitor.zq.com

    mark

    这里已经可以看到我们之前部署的dubbo-demo-service服务了,启动了两个进程来提供服务。
    至此,dubbo-monitor监控服务已经部署完成。

    4 构建dubbo-consumer服务

    4.1 构建docker镜像

    4.1.1 获取私有仓库代码

    之前创建的dubbo-service是微服务的提供者,现在创建一个微服务的消费者
    使用git@gitee.com:noah-luo/dubbo-demo-web.git这个私有仓库中的代码构建消费者
    先从https://gitee.com/sunx66/dubbo-demo-service这里fork到自己仓库,在设为私有
    并修改zk的配置

    4.1.2 配置流水线

    之前已经在jenkins配置好了流水线,只需要填写参数就行了。

    参数名 参数值
    app_name dubbo-demo-consumer
    image_name app/dubbo-demo-consumer
    git_repo git@gitee.com:noah-luo/dubbo-demo-web.git
    git_ver master
    add_tag 200506_1430
    mvn_dir ./
    target_dir ./dubbo-client/target
    mvn_cmd mvn clean package -Dmaven.test.skip=true
    base_image base/jre8:8u112
    maven 3.6.1

    4.1.3 查看构建结果

    如果构建不报错,则应该已经推送到harbor仓库中了,这时我们直接再给镜像一个新tag,以便后续模拟更新

    docker tag 
        harbor.zq.com/app/dubbo-demo-consumer:master_200506_1430 
        harbor.zq.com/app/dubbo-demo-consumer:master_200510_1430 
    docker push harbor.zq.com/app/dubbo-demo-consumer:master_200510_1430
    

    查看harbor仓库

    mark

    4.2 准备资源配置清单:

    先准备目录

    mkdir /data/k8s-yaml/dubbo-consumer
    cd /data/k8s-yaml/dubbo-consumer
    

    4.2.1 创建deploy资源清单

    cat >dp.yaml <<EOF
    kind: Deployment
    apiVersion: extensions/v1beta1
    metadata:
      name: dubbo-demo-consumer
      namespace: app
      labels: 
        name: dubbo-demo-consumer
    spec:
      replicas: 1
      selector:
        matchLabels: 
          name: dubbo-demo-consumer
      template:
        metadata:
          labels: 
            app: dubbo-demo-consumer
            name: dubbo-demo-consumer
        spec:
          containers:
          - name: dubbo-demo-consumer
            image: harbor.zq.com/app/dubbo-demo-consumer:master_200506_1430
            ports:
            - containerPort: 8080
              protocol: TCP
            - containerPort: 20880
              protocol: TCP
            env:
            - name: JAR_BALL
              value: dubbo-client.jar
            imagePullPolicy: IfNotPresent
          imagePullSecrets:
          - name: harbor
          restartPolicy: Always
          terminationGracePeriodSeconds: 30
          securityContext: 
            runAsUser: 0
          schedulerName: default-scheduler
      strategy:
        type: RollingUpdate
        rollingUpdate: 
          maxUnavailable: 1
          maxSurge: 1
      revisionHistoryLimit: 7
      progressDeadlineSeconds: 600
    EOF
    

    注意修改镜像的tag

    4.2.2 创建service资源清单

    cat >svc.yaml <<EOF
    kind: Service
    apiVersion: v1
    metadata: 
      name: dubbo-demo-consumer
      namespace: app
    spec:
      ports:
      - protocol: TCP
        port: 8080
        targetPort: 8080
      selector: 
        app: dubbo-demo-consumer
    EOF
    

    4.2.3 创建ingress资源清单

    cat >ingress.yaml <<EOF
    kind: Ingress
    apiVersion: extensions/v1beta1
    metadata: 
      name: dubbo-demo-consumer
      namespace: app
    spec:
      rules:
      - host: dubbo-demo.zq.com
        http:
          paths:
          - path: /
            backend: 
              serviceName: dubbo-demo-consumer
              servicePort: 8080
    EOF
    

    4.3 创建K8S资源

    4.3.1 应用资源配置清单:

    kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/dp.yaml
    kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/svc.yaml
    kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/ingress.yaml
    
    # 查看容器启动成功没
    ~]# kubectl get pod -n app
    NAME                                  READY   STATUS    RESTARTS   AGE
    dubbo-demo-consumer-b8d86bd5b-wbqhs   1/1     Running   0          6s
    dubbo-demo-service-79574b6879-cxkls   1/1     Running   0          4h39m
    

    4.3.2 验证启动结果

    查看log,是否启动成功:

    ~]# kubectl -n app  logs --tail=2 dubbo-demo-consumer-b8d86bd5b-wbqhs 
    Dubbo client started
    Dubbo 消费者端启动
    

    检查dubbo-monitor是否已经注册成功:

    img

    4.3.3 添加dns解析

    vi /var/named/zq.com.zone
    dubbo-demo		A    10.4.7.10
    
    # 重启服务
    systemctl restart named
    
    # 验证
    ~]# dig -t A dubbo-demo.zq.com @10.4.7.11 +short
    10.4.7.10
    

    浏览器访问http://dubbo-demo.zq.com/hello?name=lg

    mark

    4.4 模拟版本升级

    接下来我们模拟升级发版,之前已经用同一个镜像打了不同的tag并推送到从库
    当然正常发版的顺序是:

    1. 提交修改过的代码的代码块
    2. 使用jenkins构建新镜像
    3. 上传到私有harbor仓库中
    4. 更新de文件并apply

    4.4.1 修改dp.yaml资源配置清单

    修改harbor镜像仓库中对应的tag版本:

    sed -i 's#master_200506_1430#master_200510_1430#g' dp.yaml
    

    4.4.2 应用修改后的资源配置清单

    当然也可以在dashboard中进行在线修改:

    kubectl apply -f http://k8s-yaml.zq.com/dubbo-consumer/dp.yaml
    ~]# kubectl -n app  get pod
    NAME                                   READY   STATUS    RESTARTS   AGE
    dubbo-demo-consumer-84f75b679c-kdwd7   1/1     Running   0          54s
    dubbo-demo-service-79574b6879-cxkls    1/1     Running   0          4h58m
    

    img

    4.4.3 使用浏览器验证

    使用浏览器验证:http://dubbo-demo.zq.com/hello?name=lg
    在短暂的超时后,即可正常访问
    至此,我们一套完成的dubbo服务就已经交付到k8s集群当中了,并且也演示了如何发版。

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  • 原文地址:https://www.cnblogs.com/noah-luo/p/13345338.html
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