每个插件内部都有一个消息处理主线程,插件的大部分接口设计为异步接口,这样当Pipeline遍历mNodes时,前面的插件API调用不会影响后面插件。插件的异步接口采用command设计模式,把外部的调用封装成一个个命令post到消息主线程中执行; 此外,每个插件的业务逻辑不一样,处理的时间长短不同;处理耗时的插件为了不影响消息处理主线程
command:'cat',ttyEnabled:true),containerTemplate(name:'docker',image:'docker:latest',command:'cat',ttyEnabled:true),containerTemplate(name:'kubectl',image:'cnych/kubectl',command:'cat',ttyEnabled:true)],serviceAccount:'jenkins'
stage('Execute Command') {steps {script {defresult = sh(script:'ls -l',returnStdout:true).trim()echo"Command output: ${result}"}}} 解释:这里我们执行了ls -l命令,并将输出保存到result变量中。然后通过echo打印出命令的结果。 **自定义函数 ** groovy stage('Custom Function') {steps {script ...
Started by user admin Running in Durability level: MAX_SURVIVABILITY [Pipeline] Start of Pipeline [Pipeline] node Running on Jenkins in /var/lib/jenkins/workspace/simple-pipeline-demo [Pipeline] { [Pipeline] stage [Pipeline] { (Clone) [Pipeline] echo 1.Clone Stage [Pipeline] } [Pipeline] /...
command: - sleep args: - 99d volumeMounts: - name: aws-secret mountPath: /root/.aws/ - name: docker-registry-config mountPath: /kaniko/.docker volumes: - name: aws-secret secret: secretName: aws-secret - name: docker-registry-config ...
) {steps {timeout(time: 5, unit: 'MINUTES') {sh 'long-running-command'}}}Jenkins Pipeline ...
To add another stage, you use the CodePipeline console or the AWS CLI to retrieve and manually edit the structure of the pipeline in a JSON file, and then run the update-pipeline command to update the pipeline with your changes.Topics Create a second deployment group in CodeDeploy Add the ...
command: - /busybox/cat tty: true volumeMounts: - name: aws-secret mountPath: /root/.aws/ - name: docker-registry-config mountPath: /kaniko/.docker restartPolicy: Never volumes: - name: aws-secret secret: secretName: aws-secret
containerTemplate(name: 'docker', image: 'docker:latest', command: 'cat', ttyEnabled: true), containerTemplate(name: 'kubectl', image: 'cnych/kubectl', command: 'cat', ttyEnabled: true) ], serviceAccount: 'jenkins', volumes: [
Keep in mind, some differences are in effect when executing a command on a local machine and when a build or release is running on an agent. If the agent is configured to run as a service on Linux, macOS, or Windows, then it isn't running within an interactive logged-on session. Wit...