GitLab’s custom workflow and continuous delivery process customization methods

GitLab is a powerful open source code hosting platform. It not only supports version control functions, but also provides rich custom workflow and continuous delivery process customization methods. This article will introduce how to use GitLab's custom functions to implement your own workflow and continuous delivery process, and provide some specific code examples.

1. Custom workflow customization method

1. Create a custom workflow file

Create a file named ## in the root directory of the project #.gitlab-ci.yml file. This file is used to define a custom workflow for the project.

Define stages and tasks

In the

.gitlab-ci.yml file, you can define multiple stages and tasks to be performed in each stage . The following is a basic example:

stages:
  - build
  - test
  - deploy

build_job:
  stage: build
  script:
    - echo "Running build job"

test_job:
  stage: test
  script:
    - echo "Running test job"

deploy_job:
  stage: deploy
  script:
    - echo "Running deploy job"

Three phases are defined in this example:

build, test and deploy, each phase All have corresponding tasks. Tasks are defined using the script keyword, and specific work can be completed by executing a series of commands.

Configure trigger conditions

In addition to defining stages and tasks, you can also configure trigger conditions for each task. Here is an example:

test_job:
  stage: test
  script:
    - echo "Running test job"
  only:
    - master

In this example, the

only keyword specifies that the task will only be triggered when a commit is made on the master branch. By using the only keyword, you can have fine control over tasks based on your needs.

2. Continuous delivery process customization method

In addition to customizing workflows, GitLab also supports customizing continuous delivery processes, which can realize automated building, testing, and deployment processes.

Configuring Runner

In GitLab, Runner is the component responsible for performing CI/CD tasks. The continuous delivery process can be customized by configuring the Runner. GitLab provides a variety of runners, including shared runners and project-specific runners.

Writing CI/CD configuration files

Similar to custom workflows, the continuous delivery process also requires writing configuration files to define specific tasks. The following is an example:

stages:
  - build
  - test
  - deploy

build_job:
  stage: build
  script:
    - echo "Running build job"
  only:
    - tags

test_job:
  stage: test
  script:
    - echo "Running test job"
  only:
    - master

deploy_job:
  stage: deploy
  script:
    - echo "Running deploy job"
  only:
    - tags

In this example, the

only keyword specifies that the corresponding version will only be triggered when a commit is made on the version specified by the tags tag. Task. In this way, automatic building, testing and deployment on specified versions can be achieved.

Configuring the CD/CI pipeline

In the project settings, you can configure the CD/CI pipeline to enable the continuous delivery function. As needed, you can define multiple pipelines and select the corresponding Runner to execute tasks.

3. Sample code

stages:
  - build
  - test
  - deploy

build_job:
  stage: build
  script:
    - npm install
    - npm run build

test_job:
  stage: test
  script:
    - npm install
    - npm run test

deploy_job:
  stage: deploy
  script:
    - npm install
    - npm run build
    - scp dist/* user@example.com:/var/www/html

This example is a simple custom workflow and continuous delivery process for a front-end project. In the

build_job stage, the npm installation and build commands are executed; in the test_job stage, the npm installation and test commands are executed; in the deploy_job stage, the npm installation and build commands are executed npm's installation, build commands, and commands to deploy build results to remote servers.

Through the above examples, you can see that GitLab provides flexible custom workflow and continuous delivery process customization methods. You only need to define the corresponding stages and tasks according to your own project needs, and configure the trigger conditions and Runner to implement your own workflow and continuous delivery process. At the same time, these functions support detailed demonstration and learning through code examples.

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