Jenkins file一行代码部署.NET程序
什么是Jenkins共享库
随着微服务的增多,每个项目的都需要pipline文件,这样的话Pipeline代码冗余度高,并且pipeline的功能越来越复杂。
jenkins可以使用Shared Lib,将一些公共的pipeline抽象做成模块代码,在各种项目pipeline之间复用,以减少冗余。
共享库目录结构
共享库根目录
|-- vars|-- test1.groovy
|-- src|-- test2.groovy
|-- resources
vars: 依赖于Jenkins运行环境的Groovy脚本。其中的Groovy脚本被称之为全局变量。
src: 标准的Java源码目录结构,其中的Groovy脚本被称为类库(Library class)。
resources: 目录允许从外部库中使用 libraryResource 步骤来加载有关的非 Groovy 文件。
引用共享库的方式
#!/usr/bin/env groovy// 引用默认配置的共享库
@Library('demo-shared-library') _// 引用指定分支、tag的共享库代码
@Library('demo-shared-library@1.0') _// 引用多个指定分支tag的共享库
@Library('demo-shared-library@$Branch/Tag','demo-shared-library-test@$Branch/Tag') _@Library('utils') import org.foo.Utilities@Library('utils') import static org.foo.Utilities.*
vars下的全局变量
/vars下的全局变量必须以全小写或驼峰(camelCased)
/vars/*.groovy若实现call()方法,直接引用时默认执行其中的方法
实现一行代码部署.NET程序到K8S
安装Jenkins Master
# master
docker run --name jenkins-blueocean -u root --privileged -d -p 8080:8080 -p 50000:50000 -v D:/architecture/jenkins/data:/var/jenkins_home -v /var/run/docker.sock:/var/run/docker.sock jenkinsci/blueocean # 访问:http://ip:8080/
# jenkins密码,查看容器日志: 7285ced325a24483bfdaab227415fdac
# 安装推荐插件
安装Jenkins Agent
Manage Jenkins -> Manage Nodes and Clouds -> New Node
Name: agent2/agent3
Labels: agentnode
Launch method: Launch agent by connecting it to the master
Build Agent Docker Image
# slave
# Dockerfile
FROM jenkins/inbound-agent:latest
USER rootRUN apt-get update
RUN apt-get -y install ca-certificates curl gnupg lsb-release
RUN curl -fsSL https://get.docker.com -o get-docker.sh
RUN sh get-docker.shRUN curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
RUN install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
RUN kubectl version --clientENV JMETER_VERSION=5.4.1
ENV JMETER_HOME=/jmeter/apache-jmeter-${JMETER_VERSION}
ENV JMETER_PATH=${JMETER_HOME}/bin:${PATH}
ENV PATH=${JMETER_HOME}/bin:${PATH}RUN mkdir /jmeter
COPY apache-jmeter-${JMETER_VERSION}.tgz /jmeter
RUN cd /jmeter && tar xvf apache-jmeter-${JMETER_VERSION}.tgz #其中tgz文件请去官网下载
RUN sed -i 's/#jmeter.save.saveservice.output_format=csv/jmeter.save.saveservice.output_format=xml/g' /jmeter/apache-jmeter-5.4.1/bin/jmeter.propertiesdocker build -t chesterjenkinsagent .
docker tag chesterjenkinsagent:latest 192.168.43.95/jenkins/chesterjenkinsagent:v1
docker login --username=admin --password=123456 192.168.43.95
docker push 192.168.43.95/jenkins/chesterjenkinsagent:v1
运行Agent,其中的密钥通过jenkins的agent信息获取
# agent4
docker run -v /var/run/docker.sock:/var/run/docker.sock --name agent4 -d --init 192.168.43.95/jenkins/chesterjenkinsagent:v1 -url http://192.168.43.94:8080 1e84c896dbffc0c325587eedb6301ab0ae66d3f4b49c4628dbb05714e382d7a2 agent4
新增K8S凭据
将k8s集群的配置文件导出 ~/.kube/config
Mange Jenkins -> Manage Credentials -> Add Credentials -> Secret File
选择导出的kubeconfig,设置id为kubeconfig
新增Harbor凭据
Mange Jenkins -> Manage Credentials -> Add Credentials -> Username with password
输入Harbor的用户名密码
新增Gitee凭据
Mange Jenkins -> Manage Credentials -> Add Credentials -> Username with password
输入Gitee的用户名密码
安装插件
Manage Jenkins -> Manage Plugins -> Search "Performance" -> install
管理共享库
Manage Jenkins -> Configure System -> Global Pipeline Libraries,其中的git地址是共享库的地址
共享库中新增以下代码
vars/run.groovy
#!/usr/bin/env groovydef call(String nameSpaceName, String serviceName, String servicePath, String servicePort, String nodePort, Map envInfo) {def devBranch = envInfo['dev']def prodBranch = envInfo['prod']pipeline {agent {label 'agentnode'}environment {DEV_MY_KUBECONFIG = credentials('kubeconfig')PROD_MY_KUBECONFIG = credentials('kubeconfig')HARBOR = credentials('harbor')}stages {stage('Dev - GitPull') {steps {deleteDir()gitCheckOut devBranch, env.GIT_URL}post {success {script {echo 'pull done'}}}}stage('Dev - DockerBuild') {steps {dockerImageBuild serviceName, "${servicePath}Dockerfile"}}stage('Dev - DockerTag') {steps {dockerTag serviceName, 'dev'}}stage('Dev - DockerLogin') {steps {dockerLogin 'dev'}}stage('Dev - DockerPush') {steps {dockerPush serviceName, 'dev'}}stage('Dev - GenerateHarborSecretYAML') {steps {harborSecret nameSpaceName, serviceName, 'dev'}}stage('Dev - GenerateK8SYAML') {steps {k8sGenerateYaml nameSpaceName, serviceName, servicePath, 'dev', servicePort, nodePort}}stage('Dev - DeployToK8S') {steps {k8sDeploy servicePath, 'dev'}}stage('Dev - CheckDeployStatus') {steps {k8sCheckDeployStatus nameSpaceName, serviceName, 'dev'}}stage('Dev - Jmeter Test') {steps {jmeterTest servicePath}}stage('DeployToProd?') {steps {input '部署生产?'}}stage('Prod - GitPull') {steps {gitCheckOut prodBranch, env.GIT_URL}}stage('Prod - DockerBuild') {steps {dockerImageBuild serviceName, "${servicePath}Dockerfile"}}stage('Prod - DockerTag') {steps {dockerTag serviceName, 'prod'}}stage('Prod - DockerLogin') {steps {dockerLogin 'prod'}}stage('Prod - DockerPush') {steps {dockerPush serviceName, 'prod'}}stage('Prod - GenerateHarborSecretYAML') {steps {harborSecret nameSpaceName, serviceName, 'prod'}}stage('Prod - GenerateK8SYAML') {steps {k8sGenerateYaml nameSpaceName, serviceName, servicePath, 'prod', servicePort, nodePort}}stage('Prod - DeployToK8S') {steps {k8sDeploy servicePath, 'prod'}}stage('Prod - CheckDeployStatus') {steps {k8sCheckDeployStatus nameSpaceName, serviceName, 'prod'}}}}
}
vars/dockerImageBuild.groovy
#!/usr/bin/env groovydef call(String serviceName, String dockerfilePath) {echo "serviceName:${serviceName} dockerfilePath:${dockerfilePath}"sh "docker build -t ${serviceName} -f ${dockerfilePath} ."
}
vars/dockerLogin.groovy
#!/usr/bin/env groovydef call(String envName) {sh 'docker login --username=$HARBOR_USR --password=$HARBOR_PSW 192.168.43.95'
}
vars/dockerPush.groovy
#!/usr/bin/env groovydef call(String serviceName,String envName) {sh "docker push 192.168.43.95/dapr/${serviceName}:${envName}-${BUILD_NUMBER}"
}
vars/dockerTag.groovy
#!/usr/bin/env groovydef call(String serviceName, String envName) {sh "docker tag ${serviceName}:latest 192.168.43.95/dapr/${serviceName}:${envName}-${BUILD_NUMBER}"
}
vars/gitCheckOut.groovy
#!/usr/bin/env groovydef call(String branchName, String gitUrl) {echo "branchName:${branchName} gitUrl:${gitUrl}"checkout([$class: 'GitSCM', branches: [[name: branchName]], extensions: [], userRemoteConfigs: [[credentialsId: 'gitee', url: gitUrl]]])
}
vars/harborSecret.groovy
def call(String namespaceName, String serviceName, String envName) {dir('harborsecret') {checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 'gitee', url: 'https://gitee.com/chesterdotchen/jenkins-demo-secrets.git']]])sh """sed -i 's/{{ServiceName}}/${serviceName}/g' secrets.yaml"""sh """sed -i 's/{{NameSpaceName}}/${namespaceName}/g' secrets.yaml"""if (envName == 'dev') {sh("kubectl --kubeconfig ${DEV_MY_KUBECONFIG} apply -f secrets.yaml")}if (envName == 'prod') {sh("kubectl --kubeconfig ${PROD_MY_KUBECONFIG} apply -f secrets.yaml")}}
}
vars/jmeterTest.groovy
#!/usr/bin/env groovydef call(String servicePath) {sh "jmeter -j jmeter.save.saveservice.output_format=xml -n -t ${servicePath}jmeter.jmx -l ${servicePath}jmeter.report.jtl"sh "cp ${servicePath}jmeter.report.jtl ${servicePath}jmeter.report.${BUILD_NUMBER}.jtl"perfReport errorFailedThreshold:5, sourceDataFiles:"${servicePath}jmeter.report.jtl"sh "cat ${servicePath}jmeter.report.${BUILD_NUMBER}.jtl"sh """#!/bin/shgrep '<failure>true</failure>' ${servicePath}jmeter.report.${BUILD_NUMBER}.jtlif [ \$? = 0 ]thenexit 1elseexit 0fi"""
}
vars/k8sCheckDeployStatus.groovy
#!/usr/bin/env groovydef call(String nameSpaceName, String serviceName, String envName) {if (envName == 'dev') {sh("""ATTEMPTS=0ROLLOUT_STATUS_CMD='kubectl --kubeconfig ${DEV_MY_KUBECONFIG} rollout status deployment/${serviceName} -n ${nameSpaceName}-ns'until \$ROLLOUT_STATUS_CMD || [ \$ATTEMPTS -eq 60 ]; do\$ROLLOUT_STATUS_CMDATTEMPTS=\$((attempts + 1))sleep 10done""")}if (envName == 'prod') {sh("""ATTEMPTS=0ROLLOUT_STATUS_CMD='kubectl --kubeconfig ${PROD_MY_KUBECONFIG} rollout status deployment/${serviceName} -n ${nameSpaceName}-ns'until \$ROLLOUT_STATUS_CMD || [ \$ATTEMPTS -eq 60 ]; do\$ROLLOUT_STATUS_CMDATTEMPTS=\$((attempts + 1))sleep 10done""")}
}
vars/k8sDeploy.groovy
#!/usr/bin/env groovydef call(String servicePath, String envName) {if (envName == 'dev') {sh("kubectl --kubeconfig ${DEV_MY_KUBECONFIG} apply -f ${servicePath}deployment.yaml")}if (envName == 'prod') {sh("kubectl --kubeconfig ${PROD_MY_KUBECONFIG} apply -f ${servicePath}deployment.yaml")}
}
vars/k8sGenerateYaml.groovy
#!/usr/bin/env groovydef call(String namespaceName, String serviceName, String servicePath, String envName, String servicePort, String nodePort) {sh """sed "s/{{tagversion}}/${envName}-${BUILD_NUMBER}/g" ${servicePath}deployment.yaml.tpl > ${servicePath}deployment.yaml """sh """sed -i 's/{{ServiceName}}/${serviceName}/g' ${servicePath}deployment.yaml"""sh """sed -i 's/{{ServicePort}}/${servicePort}/g' ${servicePath}deployment.yaml"""sh """sed -i 's/{{NodePort}}/${nodePort}/g' ${servicePath}deployment.yaml"""sh """sed -i 's/{{NameSpaceName}}/${namespaceName}/g' ${servicePath}deployment.yaml"""
}
jenkins-demo-secrets中代码如下
apiVersion: v1
kind: Namespace
metadata:name: {{NameSpaceName}}-ns---
apiVersion: v1
kind: Secret
metadata:name: harbor-keynamespace: {{NameSpaceName}}-ns
type: kubernetes.io/dockerconfigjson
data:.dockerconfigjson: ewoJImF1dGhzIjogewoJCSIxOTIuMTY4LjQzLjk1IjogewoJCQkiYXV0aCI6ICJZV1J0YVc0Nk1USXpORFUyIgoJCX0sCgkJInJlZ2lzdHJ5LmNuLWJlaWppbmcuYWxpeXVuY3MuY29tIjogewoJCQkiYXV0aCI6ICI2Wm1JNUxpQTU0dXVPbU5vWlc1NWFYTm9hVEV5TXc9PSIKCQl9Cgl9Cn0=
dockerconfigjson可通过以下方式获取
docker login --username=admin --password=123456 192.168.43.95
cat ~/.docker/config.json | base64
Jenkinsfile中引用共享库
项目库中需要提前编写好Dockerfile,Jenkinsfile,deployment.yaml.tpl,jmeter.jmx
Dockerfile
#See https://aka.ms/containerfastmode to understand how Visual Studio uses this Dockerfile to build your images for faster debugging.FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base
WORKDIR /app
EXPOSE 5001FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build
WORKDIR /src
COPY ["FrontEnd/FrontEnd.csproj", "FrontEnd/"]
COPY ["Common/Common.csproj", "Common/"]
RUN dotnet restore "FrontEnd/FrontEnd.csproj"
COPY . .
WORKDIR "/src/FrontEnd"
RUN dotnet build "FrontEnd.csproj" -c Release -o /app/buildFROM build AS publish
RUN dotnet publish "FrontEnd.csproj" -c Release -o /app/publishFROM base AS final
WORKDIR /app
COPY --from=publish /app/publish .
ENTRYPOINT ["dotnet", "FrontEnd.dll"]
Jenkinsfile
#!/usr/bin/env groovy@Library('share@master') _run 'daprtest', 'frontend', './FrontEnd/', '5001', '31111', ['dev':'*/master', 'prod':'*/master']
deployment.yaml.tpl
apiVersion: v1
kind: Namespace
metadata:name: {{NameSpaceName}}-ns---
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:name: statestorenamespace: {{NameSpaceName}}-ns
spec:type: state.redisversion: v1metadata:- name: redisHostvalue: 192.168.43.102:6379- name: redisPasswordvalue: "123456"- name: actorStateStorevalue: "true"---
apiVersion: apps/v1
kind: Deployment
metadata:name: {{ServiceName}}namespace: {{NameSpaceName}}-nslabels:app: {{ServiceName}}
spec:replicas: 1selector:matchLabels:app: {{ServiceName}}template:metadata:namespace: {{NameSpaceName}}-nslabels:app: {{ServiceName}}annotations:dapr.io/enabled: "true"dapr.io/app-id: "{{ServiceName}}"dapr.io/app-port: "{{ServicePort}}"spec:imagePullSecrets:- name: harbor-keycontainers:- name: {{ServiceName}}image: 192.168.43.95/dapr/{{ServiceName}}:{{tagversion}}ports:- containerPort: {{ServicePort}}imagePullPolicy: Always---
apiVersion: v1
kind: Service
metadata:namespace: {{NameSpaceName}}-nsname: {{ServiceName}}-svc
spec:type: NodePortselector:app: {{ServiceName}}ports:- port: {{ServicePort}}targetPort: {{ServicePort}}nodePort: {{NodePort}}
jmter.jmx则根据需要自行编写
新建pipline
其中的URL指向自己项目的git地址
构建pipline
至此,我们已经完成了Jenkinsfile中一行代码部署我们的项目,如果有新的service,在编写好Dockerfile,deployment.yaml.tpl(保持一致),jmeter.jmx的前提下,我们只需要Jenkinsfile中通过共享库引用run方法即可