![]() ![]() By default, the pipeline runs for each pull request change. For a pull request validation trigger, just replace the trigger: step with pr: as shown in the two examples below. You can set up triggers for specific branches or for pull request validation. YAML pipelines are configured by default with a CI trigger on your default branch (which is usually main). You can use trigger: to cause a pipeline to run whenever you push an update to a branch. Pipeline triggers cause a pipeline to run. Select Save and then confirm the changes to see your build run two jobs on two different platforms and SDKs. If you want to build on multiple platforms and versions, replace the entire content in your azure-pipelines.yml file before the publishing task with the following snippet: trigger: Make sure to change the $(imageName) variable back to the platform of your choice. With this line: jdkVersionOption: $(jdkVersion) Then replace this line in your maven task: jdkVersionOption: "1.11" If you want to build on a single platform and multiple versions, add the following matrix to your azure-pipelines.yml file before the Maven task and after the vmImage. You cannot use strategy multiples times in a context. In this step, you can either build the Java project with two different versions of Java on a single platform or run different versions of Java on different platforms. To build a project using different versions of that language, you can use a matrix of versions and a variable. To run multiple jobs in parallel you must configure multiple agents. Select Save and then confirm the changes to see your build run up to three jobs on three different platforms.Įach agent can run only one job at a time. In your azure-pipelines.yml file, replace this content: pool: For this example, we'll use a variable to pass in the name of the image we want to use. You can use variables to conveniently put data into various parts of a pipeline. One way to do it is with strategy and matrix. You can build and test your project on multiple platforms. You can view your test and code coverage results by selecting your build and going to the Test and Coverage tabs. Select Save and then confirm the changes. ReportDirectory: "$(System.DefaultWorkingDirectory)/**/site/jacoco" SummaryFileLocation: "$(System.DefaultWorkingDirectory)/**/site/jacoco/jacoco.xml" For Java, the Maven task we used handles testing and publishing results, however, you can use a task to publish code coverage results too.Īdd the following snippet to the end of your YAML file. You can use tasks for building, testing, publishing, or deploying your app. You can add more scripts or tasks as steps to your pipeline. Select Save and then confirm the changes to see your pipeline run on a different platform. To choose a different platform like Windows or Mac, change the vmImage value: pool: Navigate to the editor for your pipeline by selecting Edit pipeline action on the build, or by selecting Edit from the pipeline's main page.Ĭurrently the pipeline runs on a Linux agent: pool: Or, you can use self-hosted agents with specific tools that you need. You can build your project on Microsoft-hosted agents that already include SDKs and tools for various development languages. The pipeline process has a single step, which is to run the Maven task. It runs on a Microsoft-hosted Linux machine. ![]() This pipeline runs whenever your team pushes a change to the main branch of your repo or creates a pull request. The contents of your YAML file may be different depending on the sample repo you started with, or upgrades made in Azure Pipelines. ![]()
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