228 lines
8.6 KiB
Markdown
228 lines
8.6 KiB
Markdown
---
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stage: Verify
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group: Continuous Integration
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#designated-technical-writers
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type: reference
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---
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# Getting started with GitLab CI/CD
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GitLab offers a [continuous integration](https://about.gitlab.com/stages-devops-lifecycle/continuous-integration/) service. For each commit or push to trigger your CI
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[pipeline](../pipelines/index.md), you must:
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- Add a [`.gitlab-ci.yml` file](#creating-a-gitlab-ciyml-file) to your repository's root directory.
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- Ensure your project is configured to use a [runner](#configuring-a-runner).
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The `.gitlab-ci.yml` file tells the runner what to do. A simple pipeline commonly has
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three [stages](../yaml/README.md#stages):
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- `build`
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- `test`
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- `deploy`
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You do not need to use all three stages; stages with no jobs are ignored.
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The pipeline appears under the project's **CI/CD > Pipelines** page. If everything runs OK (no non-zero
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return values), you get a green check mark associated with the commit. This makes it easy to see
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whether a commit caused any of the tests to fail before you even look at the job (test) log. Many projects use
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GitLab's CI service to run the test suite, so developers get immediate feedback if they broke
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something.
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It's also common to use pipelines to automatically deploy
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tested code to staging and production environments.
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If you're already familiar with general CI/CD concepts, you can review which
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[pipeline architectures](../pipelines/pipeline_architectures.md) can be used
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in your projects. If you're coming over to GitLab from Jenkins, you can check out
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our [reference](../migration/jenkins.md) for converting your pre-existing pipelines
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over to our format.
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This guide assumes that you have:
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- A working GitLab instance of version 8.0+ or are using
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[GitLab.com](https://gitlab.com).
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- A project in GitLab that you would like to use CI for.
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- Maintainer or owner access to the project
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Let's break it down to pieces and work on solving the GitLab CI/CD puzzle.
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## Creating a `.gitlab-ci.yml` file
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Before you create `.gitlab-ci.yml` let's first explain in brief what this is
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all about.
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### What is `.gitlab-ci.yml`
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The `.gitlab-ci.yml` file is where you configure what CI does with your project.
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It lives in the root of your repository.
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On any push to your repository, GitLab will look for the `.gitlab-ci.yml`
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file and start jobs on _runners_ according to the contents of the file,
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for that commit.
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Because `.gitlab-ci.yml` is in the repository and is version controlled, old
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versions still build successfully, forks can easily make use of CI, branches can
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have different pipelines and jobs, and you have a single source of truth for CI.
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You can read more about the reasons why we are using `.gitlab-ci.yml` [in our
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blog about it](https://about.gitlab.com/blog/2015/05/06/why-were-replacing-gitlab-ci-jobs-with-gitlab-ci-dot-yml/).
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### Creating a simple `.gitlab-ci.yml` file
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You need to create a file named `.gitlab-ci.yml` in the root directory of your
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repository. This is a [YAML](https://en.wikipedia.org/wiki/YAML) file
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so you have to pay extra attention to indentation. Always use spaces, not tabs.
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Below is an example for a Ruby on Rails project:
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```yaml
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default:
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image: ruby:2.5
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before_script:
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- apt-get update
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- apt-get install -y sqlite3 libsqlite3-dev nodejs
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- ruby -v
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- which ruby
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- gem install bundler --no-document
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- bundle install --jobs $(nproc) "${FLAGS[@]}"
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rspec:
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script:
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- bundle exec rspec
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rubocop:
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script:
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- bundle exec rubocop
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```
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This is the simplest possible configuration that will work for most Ruby
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applications:
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1. Define two jobs `rspec` and `rubocop` (the names are arbitrary) with
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different commands to be executed.
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1. Before every job, the commands defined by `before_script` are executed.
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The `.gitlab-ci.yml` file defines sets of jobs with constraints of how and when
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they should be run. The jobs are defined as top-level elements with a name (in
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our case `rspec` and `rubocop`) and always have to contain the `script` keyword.
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Jobs are used to create jobs, which are then picked by
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[runners](../runners/README.md) and executed within the environment of the runner.
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What is important is that each job is run independently from each other.
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If you want to check whether the `.gitlab-ci.yml` of your project is valid, there is a
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[CI Lint tool](../lint.md) available in every project.
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You can use the [CI/CD configuration visualization](../yaml/visualization.md) to
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see a graphical representation of your `.gitlab-ci.yml`.
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For more information and a complete `.gitlab-ci.yml` syntax, please read
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[the reference documentation on `.gitlab-ci.yml`](../yaml/README.md).
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TIP: **Tip:**
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A GitLab team member has made an [unofficial visual pipeline editor](https://unofficial.gitlab.tools/visual-pipelines/).
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There is a [plan to make it an official part of GitLab](https://gitlab.com/groups/gitlab-org/-/epics/4069)
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in the future, but it's available for anyone who wants to try it at the above link.
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### Push `.gitlab-ci.yml` to GitLab
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Once you've created `.gitlab-ci.yml`, you should add it to your Git repository
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and push it to GitLab.
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```shell
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git add .gitlab-ci.yml
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git commit -m "Add .gitlab-ci.yml"
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git push origin master
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```
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Now if you go to the **Pipelines** page you will see that the pipeline is
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pending.
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NOTE: **Note:**
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If you have a [mirrored repository where GitLab pulls from](../../user/project/repository/repository_mirroring.md#pulling-from-a-remote-repository),
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you may need to enable pipeline triggering in your project's
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**Settings > Repository > Pull from a remote repository > Trigger pipelines for mirror updates**.
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You can also go to the **Commits** page and notice the little pause icon next
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to the commit SHA.
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![New commit pending](img/new_commit.png)
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Clicking on it you will be directed to the jobs page for that specific commit.
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![Single commit jobs page](img/single_commit_status_pending.png)
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Notice that there is a pending job which is named after what we wrote in
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`.gitlab-ci.yml`. "stuck" indicates that there is no runner configured
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yet for this job.
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The next step is to configure a runner so that it picks the pending jobs.
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## Configuring a runner
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In GitLab, runners run the jobs that you define in `.gitlab-ci.yml`. A runner
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can be a virtual machine, a VPS, a bare-metal machine, a Docker container, or
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even a cluster of containers. GitLab and the runner communicate through an API,
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so the only requirement is that the runner's machine has network access to the
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GitLab server.
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A runner can be specific to a certain project or serve multiple projects in
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GitLab. If it serves all projects, it's called a _shared runner_.
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Find more information about runners in the
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[runner](../runners/README.md) documentation.
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The official runner supported by GitLab is written in Go.
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View [the documentation](https://docs.gitlab.com/runner/).
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For a runner to be available in GitLab, you must:
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1. [Install GitLab Runner](https://docs.gitlab.com/runner/install/).
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1. [Register a runner for your group or project](https://docs.gitlab.com/runner/register/).
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When a runner is available, you can view it by
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clicking **Settings > CI/CD** and expanding **Runners**.
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![Activated runners](img/runners_activated.png)
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### Shared runners
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If you use [GitLab.com](https://gitlab.com/), you can use the **shared runners**
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provided by GitLab.
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These are special virtual machines that run on GitLab's infrastructure and can
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build any project.
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To enable shared runners, go to your project's or group's
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**Settings > CI/CD** and click **Enable shared runners**.
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[Read more about shared runners](../runners/README.md#shared-runners).
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## Viewing the status of your pipeline and jobs
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After configuring the runner successfully, you should see the status of your
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last commit change from _pending_ to either _running_, _success_ or _failed_.
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You can view all pipelines by going to the **Pipelines** page in your project.
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![Commit status](img/pipelines_status.png)
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Or you can view all jobs, by going to the **Pipelines ➔ Jobs** page.
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![Commit status](img/builds_status.png)
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By clicking on a job's status, you will be able to see the log of that job.
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This is important to diagnose why a job failed or acted differently than
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you expected.
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![Build log](img/build_log.png)
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You are also able to view the status of any commit in the various pages in
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GitLab, such as **Commits** and **Merge requests**.
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## Additional resources
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Visit the [examples README](../examples/README.md) to see a list of examples using GitLab
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CI with various languages.
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For help making your new pipelines faster and more efficient, see the
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[pipeline efficiency documentation](../pipelines/pipeline_efficiency.md).
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