GitLab's CI/CD pipeline function and configuration examples
GitLab's CI/CD pipeline function and configuration example
Introduction:
In modern software development, CI/CD (continuous integration and continuous delivery) has became a common practice. It greatly improves the efficiency of the development team and the quality of software releases by automating the build, test and deployment processes. As a popular code hosting platform, GitLab provides powerful CI/CD pipeline functions. This article will introduce GitLab's CI/CD pipeline functions and configuration examples, and give specific code examples.
1. Introduction to the CI/CD pipeline function
GitLab's CI/CD pipeline is a method that automatically performs a series of defined operations after submitting the code to the repository, such as building, testing, and deployment. . It configures the pipeline based on YAML files, simplifying the complexity of configuration while providing rich built-in functions and expansion capabilities.
2. Configuration Example
The following is a simple example showing how to configure a basic CI/CD pipeline on GitLab.
- Create the .gitlab-ci.yml file
First, create a file named .gitlab-ci.yml in the root directory of your GitLab repository . This file will define the configuration rules and operations of the entire pipeline.
- Define processes and stages
In the .gitlab-ci.yml file, you can define multiple stages (stages), each stage represents a step in the pipeline One step. The following is an example:
stages: - build - test - deploy
The above example defines three phases: build, test, and deploy.
- Define tasks
Under each stage, you can define multiple tasks (jobs), and each task represents a specific operation in the pipeline. The following is an example:
build_project: stage: build script: - echo "Building project..." - npm install run_tests: stage: test script: - echo "Running tests..." - npm test deploy_app: stage: deploy script: - echo "Deploying application..." - scp app.zip user@server:/path/to/deploy/
The above example defines three tasks: build_project (build project), run_tests (run tests), deploy_app (deploy application). Each task contains a script (script) in which corresponding operations can be performed, such as building the project, running tests, and deploying applications.
- Add trigger conditions
You can add trigger conditions as needed, such as triggering the pipeline when there is a new commit, a specific branch, or a tag changes. The following is an example:
only: - master
The above example specifies that the pipeline will only be triggered when committing to the master branch.
- Configuring the triggering method
You can configure the triggering method of the pipeline. The default is automatic triggering. The following is an example:
trigger: include: - local
The above example is configured to allow the pipeline to be triggered locally.
3. Code Example
The following is an example of a complete .gitlab-ci.yml file, showing how to configure a simple CI/CD pipeline:
stages: - build - test - deploy build_project: stage: build script: - echo "Building project..." - npm install run_tests: stage: test script: - echo "Running tests..." - npm test deploy_app: stage: deploy script: - echo "Deploying application..." - scp app.zip user@server:/path/to/deploy/ only: - master trigger: include: - local
The above example definition A pipeline consists of three stages (build, test, deploy). Each phase contains a task, which are building the project, running tests, and deploying the application. The pipeline will only be triggered when submitted to the master branch, and also supports local triggering.
Conclusion:
GitLab's CI/CD pipeline function provides software development teams with powerful automated build, testing and deployment capabilities. With simple configuration, you can easily customize a pipeline to suit your team's needs. I hope the examples in this article can help you better understand and use GitLab's CI/CD pipeline function.
The above is the detailed content of GitLab's CI/CD pipeline function and configuration examples. For more information, please follow other related articles on the PHP Chinese website!

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