gitlab-org--gitlab-foss/doc/ci/yaml

stage	group	info	type
Verify	Pipeline Execution	To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments	reference

Keyword reference for the .gitlab-ci.yml file (FREE)

This document lists the configuration options for your GitLab .gitlab-ci.yml file.

• For a quick introduction to GitLab CI/CD, follow the quick start guide.
• For a collection of examples, see GitLab CI/CD Examples.
• To view a large .gitlab-ci.yml file used in an enterprise, see the .gitlab-ci.yml file for gitlab.

When you are editing your .gitlab-ci.yml file, you can validate it with the CI Lint tool.

Job keywords

A job is defined as a list of keywords that define the job's behavior.

The keywords available for jobs are:

Keyword	Description
after_script	Override a set of commands that are executed after job.
allow_failure	Allow job to fail. A failed job does not cause the pipeline to fail.
artifacts	List of files and directories to attach to a job on success.
before_script	Override a set of commands that are executed before job.
cache	List of files that should be cached between subsequent runs.
coverage	Code coverage settings for a given job.
dependencies	Restrict which artifacts are passed to a specific job by providing a list of jobs to fetch artifacts from.
environment	Name of an environment to which the job deploys.
except	Control when jobs are not created.
extends	Configuration entries that this job inherits from.
image	Use Docker images.
include	Include external YAML files.
inherit	Select which global defaults all jobs inherit.
interruptible	Defines if a job can be canceled when made redundant by a newer run.
needs	Execute jobs earlier than the stage ordering.
only	Control when jobs are created.
pages	Upload the result of a job to use with GitLab Pages.
parallel	How many instances of a job should be run in parallel.
release	Instructs the runner to generate a release object.
resource_group	Limit job concurrency.
retry	When and how many times a job can be auto-retried in case of a failure.
rules	List of conditions to evaluate and determine selected attributes of a job, and whether or not it's created.
script	Shell script that is executed by a runner.
secrets	The CI/CD secrets the job needs.
services	Use Docker services images.
stage	Defines a job stage.
tags	List of tags that are used to select a runner.
timeout	Define a custom job-level timeout that takes precedence over the project-wide setting.
trigger	Defines a downstream pipeline trigger.
variables	Define job variables on a job level.
when	When to run job.

Unavailable names for jobs

You can't use these keywords as job names:

• image
• services
• stages
• types
• before_script
• after_script
• variables
• cache
• include

Custom default keyword values

You can set global defaults for some keywords. Jobs that do not define one or more of the listed keywords use the value defined in the default: section.

These job keywords can be defined inside a default: section:

• after_script
• artifacts
• before_script
• cache
• image
• interruptible
• retry
• services
• tags
• timeout

The following example sets the ruby:3.0 image as the default for all jobs in the pipeline. The rspec 2.7 job does not use the default, because it overrides the default with a job-specific image: section:

default:
  image: ruby:3.0

rspec:
  script: bundle exec rspec

rspec 2.7:
  image: ruby:2.7
  script: bundle exec rspec

Global keywords

Some keywords are not defined in a job. These keywords control pipeline behavior or import additional pipeline configuration:

Keyword	Description
stages	The names and order of the pipeline stages.
workflow	Control what types of pipeline run.
include	Import configuration from other YAML files.

stages

Use stages to define stages that contain groups of jobs. stages is defined globally for the pipeline. Use stage in a job to define which stage the job is part of.

The order of the stages items defines the execution order for jobs:

• Jobs in the same stage run in parallel.
• Jobs in the next stage run after the jobs from the previous stage complete successfully.

For example:

stages:
  - build
  - test
  - deploy

1. All jobs in build execute in parallel.
2. If all jobs in build succeed, the test jobs execute in parallel.
3. If all jobs in test succeed, the deploy jobs execute in parallel.
4. If all jobs in deploy succeed, the pipeline is marked as passed.

If any job fails, the pipeline is marked as failed and jobs in later stages do not start. Jobs in the current stage are not stopped and continue to run.

If no stages are defined in the .gitlab-ci.yml file, then build, test and deploy are the default pipeline stages.

If a job does not specify a stage, the job is assigned the test stage.

If a stage is defined, but no jobs use it, the stage is not visible in the pipeline. This is useful for compliance pipeline configuration because:

• Stages can be defined in the compliance configuration but remain hidden if not used.
• The defined stages become visible when developers use them in job definitions.

To make a job start earlier and ignore the stage order, use the needs keyword.

workflow

Introduced in GitLab 12.5

Use workflow: to determine whether or not a pipeline is created. Define this keyword at the top level, with a single rules: keyword that is similar to rules: defined in jobs.

You can use the workflow:rules templates to import a preconfigured workflow: rules entry.

workflow: rules accepts these keywords:

• if: Check this rule to determine when to run a pipeline.
• when: Specify what to do when the if rule evaluates to true.
  • To run a pipeline, set to always.
  • To prevent pipelines from running, set to never.
• variables: If not defined, uses the variables defined elsewhere.

When no rules evaluate to true, the pipeline does not run.

Some example if clauses for workflow: rules:

Example rules	Details
if: '$CI_PIPELINE_SOURCE == "merge_request_event"'	Control when merge request pipelines run.
if: '$CI_PIPELINE_SOURCE == "push"'	Control when both branch pipelines and tag pipelines run.
if: $CI_COMMIT_TAG	Control when tag pipelines run.
if: $CI_COMMIT_BRANCH	Control when branch pipelines run.

See the common if clauses for rules for more examples.

In the following example, pipelines run for all push events (changes to branches and new tags). Pipelines for push events with -draft in the commit message don't run, because they are set to when: never. Pipelines for schedules or merge requests don't run either, because no rules evaluate to true for them:

workflow:
  rules:
    - if: $CI_COMMIT_MESSAGE =~ /-draft$/
      when: never
    - if: '$CI_PIPELINE_SOURCE == "push"'

This example has strict rules, and pipelines do not run in any other case.

Alternatively, all of the rules can be when: never, with a final when: always rule. Pipelines that match the when: never rules do not run. All other pipeline types run:

workflow:
  rules:
    - if: '$CI_PIPELINE_SOURCE == "schedule"'
      when: never
    - if: '$CI_PIPELINE_SOURCE == "push"'
      when: never
    - when: always

This example prevents pipelines for schedules or push (branches and tags) pipelines. The final when: always rule runs all other pipeline types, including merge request pipelines.

If your rules match both branch pipelines and merge request pipelines, duplicate pipelines can occur.

workflow:rules:variables

• Introduced in GitLab 13.11.
• Deployed behind a feature flag, disabled by default.
• Enabled by default in GitLab 13.12.
• Enabled on GitLab.com.
• Recommended for production use.
• For GitLab self-managed instances, GitLab administrators can opt to disable it. (FREE SELF)

There can be risks when disabling released features. Refer to this feature's version history for more details.

You can use variables in workflow:rules: to define variables for specific pipeline conditions.

For example:

variables:
  DEPLOY_VARIABLE: "default-deploy"

workflow:
  rules:
    - if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH
      variables:
        DEPLOY_VARIABLE: "deploy-production"  # Override globally-defined DEPLOY_VARIABLE
    - if: $CI_COMMIT_REF_NAME =~ /feature/
      variables:
        IS_A_FEATURE: "true"                  # Define a new variable.
    - when: always                            # Run the pipeline in other cases

job1:
  variables:
    DEPLOY_VARIABLE: "job1-default-deploy"
  rules:
    - if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH
      variables:                                   # Override DEPLOY_VARIABLE defined
        DEPLOY_VARIABLE: "job1-deploy-production"  # at the job level.
    - when: on_success                             # Run the job in other cases
  script:
    - echo "Run script with $DEPLOY_VARIABLE as an argument"
    - echo "Run another script if $IS_A_FEATURE exists"

job2:
  script:
    - echo "Run script with $DEPLOY_VARIABLE as an argument"
    - echo "Run another script if $IS_A_FEATURE exists"

When the branch is the default branch:

• job1's DEPLOY_VARIABLE is job1-deploy-production.
• job2's DEPLOY_VARIABLE is deploy-production.

When the branch is feature:

• job1's DEPLOY_VARIABLE is job1-default-deploy, and IS_A_FEATURE is true.
• job2's DEPLOY_VARIABLE is default-deploy, and IS_A_FEATURE is true.

When the branch is something else:

• job1's DEPLOY_VARIABLE is job1-default-deploy.
• job2's DEPLOY_VARIABLE is default-deploy.

Enable or disable workflow:rules:variables (FREE SELF)

workflow:rules:variables is under development but ready for production use. It is deployed behind a feature flag that is enabled by default. GitLab administrators with access to the GitLab Rails console can opt to disable it.

To enable it:

Feature.enable(:ci_workflow_rules_variables)

To disable it:

Feature.disable(:ci_workflow_rules_variables)

workflow:rules templates

Introduced in GitLab 13.0.

GitLab provides templates that set up workflow: rules for common scenarios. These templates help prevent duplicate pipelines.

The Branch-Pipelines template makes your pipelines run for branches and tags.

Branch pipeline status is displayed in merge requests that use the branch as a source. However, this pipeline type does not support any features offered by merge request pipelines, like pipelines for merge results or merge trains. This template intentionally avoids those features.

To include it:

include:
  - template: 'Workflows/Branch-Pipelines.gitlab-ci.yml'

The MergeRequest-Pipelines template makes your pipelines run for the default branch, tags, and all types of merge request pipelines. Use this template if you use any of the the pipelines for merge requests features.

To include it:

include:
  - template: 'Workflows/MergeRequest-Pipelines.gitlab-ci.yml'

Switch between branch pipelines and merge request pipelines

Introduced in GitLab 13.8.

To make the pipeline switch from branch pipelines to merge request pipelines after a merge request is created, add a workflow: rules section to your .gitlab-ci.yml file.

If you use both pipeline types at the same time, duplicate pipelines might run at the same time. To prevent duplicate pipelines, use the CI_OPEN_MERGE_REQUESTS variable.

The following example is for a project that runs branch and merge request pipelines only, but does not run pipelines for any other case. It runs:

• Branch pipelines when a merge request is not open for the branch.
• Merge request pipelines when a merge request is open for the branch.

workflow:
  rules:
    - if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
    - if: '$CI_COMMIT_BRANCH && $CI_OPEN_MERGE_REQUESTS'
      when: never
    - if: '$CI_COMMIT_BRANCH'

If the pipeline is triggered by:

• A merge request, run a merge request pipeline. For example, a merge request pipeline can be triggered by a push to a branch with an associated open merge request.
• A change to a branch, but a merge request is open for that branch, do not run a branch pipeline.
• A change to a branch, but without any open merge requests, run a branch pipeline.

You can also add a rule to an existing workflow section to switch from branch pipelines to merge request pipelines when a merge request is created.

Add this rule to the top of the workflow section, followed by the other rules that were already present:

workflow:
  rules:
    - if: $CI_COMMIT_BRANCH && $CI_OPEN_MERGE_REQUESTS && $CI_PIPELINE_SOURCE == "push"
      when: never
    - ...                # Previously defined workflow rules here

Triggered pipelines that run on a branch have a $CI_COMMIT_BRANCH set and could be blocked by a similar rule. Triggered pipelines have a pipeline source of trigger or pipeline, so && $CI_PIPELINE_SOURCE == "push" ensures the rule does not block triggered pipelines.

include

Moved to GitLab Free in 11.4.

Use include to include external YAML files in your CI/CD configuration. You can break down one long gitlab-ci.yml file into multiple files to increase readability, or reduce duplication of the same configuration in multiple places.

You can also store template files in a central repository and include them in projects.

include requires the external YAML file to have the extensions .yml or .yaml, otherwise the external file is not included.

You can't use YAML anchors across different YAML files sourced by include. You can only refer to anchors in the same file. To reuse configuration from different YAML files, use !reference tags or the extends keyword.

include supports the following inclusion methods:

Keyword	Method
local	Include a file from the local project repository.
file	Include a file from a different project repository.
remote	Include a file from a remote URL. Must be publicly accessible.
template	Include templates that are provided by GitLab.

When the pipeline starts, the .gitlab-ci.yml file configuration included by all methods is evaluated. The configuration is a snapshot in time and persists in the database. GitLab does not reflect any changes to the referenced .gitlab-ci.yml file configuration until the next pipeline starts.

The include files are:

• Deep merged with those in the .gitlab-ci.yml file.
• Always evaluated first and merged with the content of the .gitlab-ci.yml file, regardless of the position of the include keyword.

NOTE: Use merging to customize and override included CI/CD configurations with local configurations. Local configurations in the .gitlab-ci.yml file override included configurations.

Variables with include (FREE SELF)

• Introduced in GitLab 13.8.
• Feature flag removed in GitLab 13.9.

You can use some predefined variables in include sections in your .gitlab-ci.yml file:

include:
  project: '$CI_PROJECT_PATH'
  file: '.compliance-gitlab-ci.yml'

For an example of how you can include these predefined variables, and the variables' impact on CI/CD jobs, see this CI/CD variable demo.

include:local

Use include:local to include a file that is in the same repository as the .gitlab-ci.yml file. Use a full path relative to the root directory (/).

If you use include:local, make sure that both the .gitlab-ci.yml file and the local file are on the same branch.

You can't include local files through Git submodules paths.

All nested includes are executed in the scope of the same project, so it's possible to use local, project, remote, or template includes.

Example:

include:
  - local: '/templates/.gitlab-ci-template.yml'

You can also use shorter syntax to define the path:

include: '.gitlab-ci-production.yml'

Use local includes instead of symbolic links.

include:local with wildcard file paths

• Introduced in GitLab 13.11.
• Deployed behind a feature flag, disabled by default.
• Enabled by default in GitLab 13.12.
• Enabled on GitLab.com.
• Recommended for production use.
• For GitLab self-managed instances, GitLab administrators can opt to disable it. (CORE ONLY)

There can be risks when disabling released features. Refer to this feature's version history for more details.

You can use wildcard paths (* and **) with include:local.

Example:

include: 'configs/*.yml'

When the pipeline runs, GitLab:

• Adds all .yml files in the configs directory into the pipeline configuration.

• Does not add .yml files in subfolders of the configs directory. To allow this, add the following configuration:

  # This matches all `.yml` files in `configs` and any subfolder in it.
  include: 'configs/**.yml'
  
  # This matches all `.yml` files only in subfolders of `configs`.
  include: 'configs/**/*.yml'
  

The wildcard file paths feature is under development but ready for production use. It is deployed behind a feature flag that is enabled by default. GitLab administrators with access to the GitLab Rails console can opt to disable it.

To enable it:

Feature.enable(:ci_wildcard_file_paths)

To disable it:

Feature.disable(:ci_wildcard_file_paths)

include:file

Introduced in GitLab 11.7.

To include files from another private project on the same GitLab instance, use include:file. You can use include:file in combination with include:project only. Use a full path, relative to the root directory (/).

For example:

include:
  - project: 'my-group/my-project'
    file: '/templates/.gitlab-ci-template.yml'

You can also specify a ref. If you do not specify a value, the ref defaults to the HEAD of the project:

include:
  - project: 'my-group/my-project'
    ref: main
    file: '/templates/.gitlab-ci-template.yml'

  - project: 'my-group/my-project'
    ref: v1.0.0
    file: '/templates/.gitlab-ci-template.yml'

  - project: 'my-group/my-project'
    ref: 787123b47f14b552955ca2786bc9542ae66fee5b  # Git SHA
    file: '/templates/.gitlab-ci-template.yml'

All nested includes are executed in the scope of the target project. You can use local (relative to target project), project, remote, or template includes.

Multiple files from a project

• Introduced in GitLab 13.6.
• Feature flag removed in GitLab 13.8.

You can include multiple files from the same project:

include:
  - project: 'my-group/my-project'
    ref: main
    file:
      - '/templates/.builds.yml'
      - '/templates/.tests.yml'

include:remote

Use include:remote with a full URL to include a file from a different location. The remote file must be publicly accessible by an HTTP/HTTPS GET request, because authentication in the remote URL is not supported. For example:

include:
  - remote: 'https://gitlab.com/example-project/-/raw/main/.gitlab-ci.yml'

All nested includes execute without context as a public user, so you can only include public projects or templates.

include:template

Introduced in GitLab 11.7.

Use include:template to include .gitlab-ci.yml templates that are shipped with GitLab.

For example:

# File sourced from the GitLab template collection
include:
  - template: Auto-DevOps.gitlab-ci.yml

Multiple include:template files:

include:
  - template: Android-Fastlane.gitlab-ci.yml
  - template: Auto-DevOps.gitlab-ci.yml

All nested includes are executed only with the permission of the user, so it's possible to use project, remote or template includes.

Nested includes

Introduced in GitLab 11.9.

Use nested includes to compose a set of includes.

You can have up to 100 includes, but you can't have duplicate includes.

In GitLab 12.4 and later, the time limit to resolve all files is 30 seconds.

Additional includes examples

View additional includes examples.

Keyword details

The following topics explain how to use keywords to configure CI/CD pipelines.

image

Use image to specify a Docker image to use for the job.

For:

• Usage examples, see Define image in the .gitlab-ci.yml file.
• Detailed usage information, refer to Docker integration documentation.

image:name

An extended Docker configuration option.

For more information, see Available settings for image.

image:entrypoint

An extended Docker configuration option.

For more information, see Available settings for image.

services

Use services to specify a service Docker image, linked to a base image specified in image.

For:

• Usage examples, see Define services in the .gitlab-ci.yml file.
• Detailed usage information, refer to Docker integration documentation.
• Example services, see GitLab CI/CD Services.

services:name

An extended Docker configuration option.

For more information, see Available settings for services.

services:alias

An extended Docker configuration option.

For more information, see Available settings for services.

services:entrypoint

An extended Docker configuration option.

For more information, see Available settings for services.

services:command

An extended Docker configuration option.

For more information, see Available settings for services.

script

Use script to specify a shell script for the runner to execute.

All jobs except trigger jobs require a script keyword.

For example:

job:
  script: "bundle exec rspec"

You can use YAML anchors with script.

The script keyword can also contain several commands in an array:

job:
  script:
    - uname -a
    - bundle exec rspec

Sometimes, script commands must be wrapped in single or double quotes. For example, commands that contain a colon (:) must be wrapped in single quotes ('). The YAML parser needs to interpret the text as a string rather than a "key: value" pair.

For example, this script uses a colon:

job:
  script:
    - curl --request POST --header 'Content-Type: application/json' "https://gitlab/api/v4/projects"

To be considered valid YAML, you must wrap the entire command in single quotes. If the command already uses single quotes, you should change them to double quotes (") if possible:

job:
  script:
    - 'curl --request POST --header "Content-Type: application/json" "https://gitlab/api/v4/projects"'

You can verify the syntax is valid with the CI Lint tool.

Be careful when using these characters as well:

• {, }, [, ], ,, &, *, #, ?, |, -, <, >, =, !, %, @, `.

If any of the script commands return an exit code other than zero, the job fails and further commands are not executed. Store the exit code in a variable to avoid this behavior:

job:
  script:
    - false || exit_code=$?
    - if [ $exit_code -ne 0 ]; then echo "Previous command failed"; fi;

before_script

Use before_script to define an array of commands that should run before each job, but after artifacts are restored.

Scripts you specify in before_script are concatenated with any scripts you specify in the main script. The combine scripts execute together in a single shell.

You can overwrite a globally-defined before_script if you define it in a job:

default:
  before_script:
    - echo "Execute this script in all jobs that don't already have a before_script section."

job1:
  script:
    - echo "This script executes after the global before_script."

job:
  before_script:
    - echo "Execute this script instead of the global before_script."
  script:
    - echo "This script executes after the job's `before_script`"

You can use YAML anchors with before_script.

after_script

Use after_script to define an array of commands that run after each job, including failed jobs.

If a job times out or is cancelled, the after_script commands do not execute. An issue exists to support executing after_script commands for timed-out or cancelled jobs.

Scripts you specify in after_script execute in a new shell, separate from any before_script or script scripts. As a result, they:

• Have a current working directory set back to the default.
• Have no access to changes done by scripts defined in before_script or script, including:
  • Command aliases and variables exported in script scripts.
  • Changes outside of the working tree (depending on the runner executor), like software installed by a before_script or script script.
• Have a separate timeout, which is hard coded to 5 minutes. See the related issue for details.
• Don't affect the job's exit code. If the script section succeeds and the after_script times out or fails, the job exits with code 0 (Job Succeeded).

default:
  after_script:
    - echo "Execute this script in all jobs that don't already have an after_script section."

job1:
  script:
    - echo "This script executes first. When it completes, the global after_script executes."

job:
  script:
    - echo "This script executes first. When it completes, the job's `after_script` executes."
  after_script:
    - echo "Execute this script instead of the global after_script."

You can use YAML anchors with after_script.

Script syntax

You can use syntax in script sections to:

• Split long commands into multiline commands.
• Use color codes to make job logs easier to review.
• Create custom collapsible sections to simplify job log output.

stage

Use stage to define which stage a job runs in. Jobs in the same stage can execute in parallel (subject to certain conditions).

Jobs without a stage entry use the test stage by default. If you do not define stages in the pipeline, you can use the 5 default stages, which execute in this order:

• .pre
• build
• test
• deploy
• .post For example:

stages:
  - build
  - test
  - deploy

job 0:
  stage: .pre
  script: make something useful before build stage

job 1:
  stage: build
  script: make build dependencies

job 2:
  stage: build
  script: make build artifacts

job 3:
  stage: test
  script: make test

job 4:
  stage: deploy
  script: make deploy

job 5:
  stage: .post
  script: make something useful at the end of pipeline

Use your own runners

When you use your own runners, each runner runs only one job at a time by default. Jobs can run in parallel if they run on different runners.

If you have only one runner, jobs can run in parallel if the runner's concurrent setting is greater than 1.

.pre and .post

Introduced in GitLab 12.4.

Use pre and post for jobs that need to run first or last in a pipeline.

• .pre is guaranteed to always be the first stage in a pipeline.
• .post is guaranteed to always be the last stage in a pipeline.

User-defined stages are executed after .pre and before .post.

You must have a job in at least one stage other than .pre or .post.

You can't change the order of .pre and .post, even if you define them out of order in the .gitlab-ci.yml file. For example, the following configurations are equivalent:

stages:
  - .pre
  - a
  - b
  - .post

stages:
  - a
  - .pre
  - b
  - .post

stages:
  - a
  - b

extends

Introduced in GitLab 11.3.

Use extends to reuse configuration sections. It's an alternative to YAML anchors and is a little more flexible and readable. You can use extends to reuse configuration from included configuration files.

In the following example, the rspec job uses the configuration from the .tests template job. GitLab:

• Performs a reverse deep merge based on the keys.
• Merges the .tests content with the rspec job.
• Doesn't merge the values of the keys.

.tests:
  script: rake test
  stage: test
  only:
    refs:
      - branches

rspec:
  extends: .tests
  script: rake rspec
  only:
    variables:
      - $RSPEC

The result is this rspec job:

rspec:
  script: rake rspec
  stage: test
  only:
    refs:
      - branches
    variables:
      - $RSPEC

.tests in this example is a hidden job, but it's possible to extend configuration from regular jobs as well.

extends supports multi-level inheritance. You should avoid using more than three levels, but you can use as many as eleven. The following example has two levels of inheritance:

.tests:
  rules:
    - if: $CI_PIPELINE_SOURCE == "push"

.rspec:
  extends: .tests
  script: rake rspec

rspec 1:
  variables:
    RSPEC_SUITE: '1'
  extends: .rspec

rspec 2:
  variables:
    RSPEC_SUITE: '2'
  extends: .rspec

spinach:
  extends: .tests
  script: rake spinach

In GitLab 12.0 and later, it's also possible to use multiple parents for extends.

Merge details

You can use extends to merge hashes but not arrays. The algorithm used for merge is "closest scope wins," so keys from the last member always override anything defined on other levels. For example:

.only-important:
  variables:
    URL: "http://my-url.internal"
    IMPORTANT_VAR: "the details"
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
    - if: $CI_COMMIT_BRANCH == "stable"
  tags:
    - production
  script:
    - echo "Hello world!"

.in-docker:
  variables:
    URL: "http://docker-url.internal"
  tags:
    - docker
  image: alpine

rspec:
  variables:
    GITLAB: "is-awesome"
  extends:
    - .only-important
    - .in-docker
  script:
    - rake rspec

The result is this rspec job:

rspec:
  variables:
    URL: "http://docker-url.internal"
    IMPORTANT_VAR: "the details"
    GITLAB: "is-awesome"
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
    - if: $CI_COMMIT_BRANCH == "stable"
  tags:
    - docker
  image: alpine
  script:
    - rake rspec

In this example:

• The variables sections merge, but URL: "http://docker-url.internal" overwrites URL: "http://my-url.internal".
• tags: ['docker'] overwrites tags: ['production'].
• script does not merge, but script: ['rake rspec'] overwrites script: ['echo "Hello world!"']. You can use YAML anchors to merge arrays.

Use extends and include together

To reuse configuration from different configuration files, combine extends and include.

In the following example, a script is defined in the included.yml file. Then, in the .gitlab-ci.yml file, extends refers to the contents of the script:

• included.yml:

  .template:
    script:
      - echo Hello!
  

• .gitlab-ci.yml:

  include: included.yml
  
  useTemplate:
    image: alpine
    extends: .template
  

rules

Introduced in GitLab 12.3.

Use rules to include or exclude jobs in pipelines.

Rules are evaluated in order until the first match. When a match is found, the job is either included or excluded from the pipeline, depending on the configuration.

rules replaces only/except and they can't be used together in the same job. If you configure one job to use both keywords, the GitLab returns a key may not be used with rules error.

rules accepts an array of rules defined with:

• if
• changes
• exists
• allow_failure
• variables
• when

You can combine multiple keywords together for complex rules.

The job is added to the pipeline:

• If an if, changes, or exists rule matches and also has when: on_success (default), when: delayed, or when: always.
• If a rule is reached that is only when: on_success, when: delayed, or when: always.

The job is not added to the pipeline:

• If no rules match.
• If a rule matches and has when: never.

rules:if

Use rules:if clauses to specify when to add a job to a pipeline:

• If an if statement is true, add the job to the pipeline.
• If an if statement is true, but it's combined with when: never, do not add the job to the pipeline.
• If no if statements are true, do not add the job to the pipeline.

if: clauses are evaluated based on the values of predefined CI/CD variables or custom CI/CD variables.

Keyword type: Job-specific and pipeline-specific. You can use it as part of a job to configure the job behavior, or with workflow to configure the pipeline behavior.

Possible inputs: A CI/CD variable expression.

Example of rules:if:

job:
  script: echo "Hello, Rules!"
  rules:
    - if: '$CI_MERGE_REQUEST_SOURCE_BRANCH_NAME =~ /^feature/ && $CI_MERGE_REQUEST_TARGET_BRANCH_NAME != $CI_DEFAULT_BRANCH'
      when: never
    - if: '$CI_MERGE_REQUEST_SOURCE_BRANCH_NAME =~ /^feature/'
      when: manual
      allow_failure: true
    - if: '$CI_MERGE_REQUEST_SOURCE_BRANCH_NAME'

Additional details:

• If a rule matches and has no when defined, the rule uses the when defined for the job, which defaults to on_success if not defined.
• You can define when once per rule, or once at the job-level, which applies to all rules. You can't mix when at the job-level with when in rules.
• Unlike variables in script sections, variables in rules expressions are always formatted as $VARIABLE.

Related topics:

• Common if expressions for rules.
• Avoid duplicate pipelines.

rules:changes

Use rules:changes to specify when to add a job to a pipeline by checking for changes to specific files.

WARNING: You should use rules: changes only with branch pipelines or merge request pipelines. You can use rules: changes with other pipeline types, but rules: changes always evaluates to true when there is no Git push event. Tag pipelines, scheduled pipelines, and so on do not have a Git push event associated with them. A rules: changes job is always added to those pipelines if there is no if: that limits the job to branch or merge request pipelines.

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: An array of file paths. In GitLab 13.6 and later, file paths can include variables.

Example of rules:changes:

docker build:
  script: docker build -t my-image:$CI_COMMIT_REF_SLUG .
  rules:
    - if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
      changes:
        - Dockerfile
      when: manual
      allow_failure: true

• If the pipeline is a merge request pipeline, check Dockerfile for changes.
• If Dockerfile has changed, add the job to the pipeline as a manual job, and the pipeline continues running even if the job is not triggered (allow_failure: true).
• If Dockerfile has not changed, do not add job to any pipeline (same as when: never).

Additional details:

• rules: changes works the same way as only: changes and except: changes.
• You can use when: never to implement a rule similar to except:changes.

rules:exists

Introduced in GitLab 12.4.

Use exists to run a job when certain files exist in the repository.

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: An array of file paths. Paths are relative to the project directory ($CI_PROJECT_DIR) and can't directly link outside it. File paths can use glob patterns.

Example of rules:exists:

job:
  script: docker build -t my-image:$CI_COMMIT_REF_SLUG .
  rules:
    - exists:
        - Dockerfile

job runs if a Dockerfile exists anywhere in the repository.

Additional details:

• Glob patterns are interpreted with Ruby File.fnmatch with the flags File::FNM_PATHNAME | File::FNM_DOTMATCH | File::FNM_EXTGLOB.
• For performance reasons, GitLab matches a maximum of 10,000 exists patterns or file paths. After the 10,000th check, rules with patterned globs always match. In other words, the exists rule always assumes a match in projects with more than 10,000 files.

rules:allow_failure

Introduced in GitLab 12.8.

Use allow_failure: true in rules: to allow a job to fail without stopping the pipeline.

You can also use allow_failure: true with a manual job. The pipeline continues running without waiting for the result of the manual job. allow_failure: false combined with when: manual in rules causes the pipeline to wait for the manual job to run before continuing.

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: true or false. Defaults to false if not defined.

Example of rules:allow_failure:

job:
  script: echo "Hello, Rules!"
  rules:
    - if: '$CI_MERGE_REQUEST_TARGET_BRANCH_NAME == $CI_DEFAULT_BRANCH'
      when: manual
      allow_failure: true

If the rule matches, then the job is a manual job with allow_failure: true.

Additional details:

• The rule-level rules:allow_failure overrides the job-level allow_failure, and only applies when the specific rule triggers the job.

rules:variables

• Introduced in GitLab 13.7.
• Feature flag removed in GitLab 13.10.

Use variables in rules: to define variables for specific conditions.

Keyword type: Job-specific. You can use it only as part of a job.

Possible inputs: A hash of variables in the format VARIABLE-NAME: value.

Example of rules:variables:

job:
  variables:
    DEPLOY_VARIABLE: "default-deploy"
  rules:
    - if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH
      variables:                              # Override DEPLOY_VARIABLE defined
        DEPLOY_VARIABLE: "deploy-production"  # at the job level.
    - if: $CI_COMMIT_REF_NAME =~ /feature/
      variables:
        IS_A_FEATURE: "true"                  # Define a new variable.
  script:
    - echo "Run script with $DEPLOY_VARIABLE as an argument"
    - echo "Run another script if $IS_A_FEATURE exists"

only / except

NOTE: only and except are not being actively developed. rules is the preferred keyword to control when to add jobs to pipelines.

You can use only and except to control when to add jobs to pipelines.

• Use only to define when a job runs.
• Use except to define when a job does not run.

Four keywords can be used with only and except:

• refs
• variables
• changes
• kubernetes

See specify when jobs run with only and except for more details and examples.

only:refs / except:refs

Use the only:refs and except:refs keywords to control when to add jobs to a pipeline based on branch names or pipeline types.

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: An array including any number of:

• Branch names, for example main or my-feature-branch.
• Regular expressions that match against branch names, for example /^feature-.*/.
• The following keywords:

  Value	Description
  api	For pipelines triggered by the pipelines API.
  branches	When the Git reference for a pipeline is a branch.
  chat	For pipelines created by using a GitLab ChatOps command.
  external	When you use CI services other than GitLab.
  external_pull_requests	When an external pull request on GitHub is created or updated (See Pipelines for external pull requests).
  merge_requests	For pipelines created when a merge request is created or updated. Enables merge request pipelines, merged results pipelines, and merge trains.
  pipelines	For multi-project pipelines created by using the API with CI_JOB_TOKEN, or the trigger keyword.
  pushes	For pipelines triggered by a git push event, including for branches and tags.
  schedules	For scheduled pipelines.
  tags	When the Git reference for a pipeline is a tag.
  triggers	For pipelines created by using a trigger token.
  web	For pipelines created by using Run pipeline button in the GitLab UI, from the project's CI/CD > Pipelines section.

Example of only:refs and except:refs:

job1:
  script: echo
  only:
    - main
    - /^issue-.*$/
    - merge_requests

job2:
  script: echo
  except:
    - main
    - /^stable-branch.*$/
    - schedules

Additional details:

• Scheduled pipelines run on specific branches, so jobs configured with only: branches run on scheduled pipelines too. Add except: schedules to prevent jobs with only: branches from running on scheduled pipelines.

• only or except used without any other keywords are equivalent to only: refs or except: refs. For example, the following two jobs configurations have the same behavior:

  job1:
    script: echo
    only:
      - branches
  
  job2:
    script: echo
    only:
      refs:
        - branches
  

• If a job does not use only, except, or rules, then only is set to branches and tags by default.

  For example, job1 and job2 are equivalent:

  job1:
    script: echo 'test'
  
  job2:
    script: echo 'test'
    only:
    - branches
    - tags
  

only:variables / except:variables

Use the only:variables or except:variables keywords to control when to add jobs to a pipeline, based on the status of CI/CD variables.

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: An array of CI/CD variable expressions.

Example of only:variables:

deploy:
  script: cap staging deploy
  only:
    variables:
      - $RELEASE == "staging"
      - $STAGING

Related topics:

• only:variables and except:variables examples.

only:changes / except:changes

Introduced in GitLab 11.4.

Use the changes keyword with only to run a job, or with except to skip a job, when a Git push event modifies a file.

Use changes in pipelines with the following refs:

• branches
• external_pull_requests
• merge_requests (see additional details about using only:changes with pipelines for merge requests)

Keyword type: Job keyword. You can use it only as part of a job.

Possible inputs: An array including any number of:

• Paths to files.
• Wildcard paths for single directories, for example path/to/directory/*, or a directory and all its subdirectories, for example path/to/directory/**/*.
• Wildcard (glob) paths for all files with the same extension or multiple extensions, for example *.md or path/to/directory/*.{rb,py,sh}.
• Wildcard paths to files in the root directory, or all directories, wrapped in double quotes. For example "*.json" or "**/*.json".

Example of only:changes:

docker build:
  script: docker build -t my-image:$CI_COMMIT_REF_SLUG .
  only:
    refs:
      - branches
    changes:
      - Dockerfile
      - docker/scripts/*
      - dockerfiles/**/*
      - more_scripts/*.{rb,py,sh}

Additional details:

• If you use refs other than branches, external_pull_requests, or merge_requests, changes can't determine if a given file is new or old and always returns true.
• If you use only: changes with other refs, jobs ignore the changes and always run.
• If you use except: changes with other refs, jobs ignore the changes and never run.

Related topics:

• only: changes and except: changes examples.
• If you use changes with only allow merge requests to be merged if the pipeline succeeds, you should also use only:merge_requests.
• Use changes with new branches or tags without pipelines for merge requests.
• Use changes with scheduled pipelines.

only:kubernetes / except:kubernetes

Use only:kubernetes or except:kubernetes to control if jobs are added to the pipeline when the Kubernetes service is active in the project.

Keyword type: Job-specific. You can use it only as part of a job.

Possible inputs: The kubernetes strategy accepts only the active keyword.

Example of only:kubernetes:

deploy:
  only:
    kubernetes: active

In this example, the deploy job runs only when the Kubernetes service is active in the project.

needs

• Introduced in GitLab 12.2.
• In GitLab 12.3, maximum number of jobs in needs array raised from five to 50.
• Introduced in GitLab 12.8, needs: [] lets jobs start immediately.

Use needs: to execute jobs out-of-order. Relationships between jobs that use needs can be visualized as a directed acyclic graph.

You can ignore stage ordering and run some jobs without waiting for others to complete. Jobs in multiple stages can run concurrently.

The following example creates four paths of execution:

• Linter: the lint job runs immediately without waiting for the build stage to complete because it has no needs (needs: []).
• Linux path: the linux:rspec and linux:rubocop jobs runs as soon as the linux:build job finishes without waiting for mac:build to finish.
• macOS path: the mac:rspec and mac:rubocop jobs runs as soon as the mac:build job finishes, without waiting for linux:build to finish.
• The production job runs as soon as all previous jobs finish; in this case: linux:build, linux:rspec, linux:rubocop, mac:build, mac:rspec, mac:rubocop.

linux:build:
  stage: build

mac:build:
  stage: build

lint:
  stage: test
  needs: []

linux:rspec:
  stage: test
  needs: ["linux:build"]

linux:rubocop:
  stage: test
  needs: ["linux:build"]

mac:rspec:
  stage: test
  needs: ["mac:build"]

mac:rubocop:
  stage: test
  needs: ["mac:build"]

production:
  stage: deploy

Requirements and limitations

• In GitLab 13.9 and older, if needs: refers to a job that might not be added to a pipeline because of only, except, or rules, the pipeline might fail to create.
• The maximum number of jobs that a single job can need in the needs: array is limited:
  • For GitLab.com, the limit is 50. For more information, see our infrastructure issue.
  • For self-managed instances, the limit is: 50. This limit can be changed.
• If needs: refers to a job that uses the parallel keyword, it depends on all jobs created in parallel, not just one job. It also downloads artifacts from all the parallel jobs by default. If the artifacts have the same name, they overwrite each other and only the last one downloaded is saved.
• needs: is similar to dependencies: in that it must use jobs from prior stages, meaning it's impossible to create circular dependencies. Depending on jobs in the current stage is not possible either, but support is planned.
• Stages must be explicitly defined for all jobs that have the keyword needs: or are referred to by one.

Changing the needs: job limit (FREE SELF)

The maximum number of jobs that can be defined in needs: defaults to 50.

A GitLab administrator with access to the GitLab Rails console can choose a custom limit. For example, to set the limit to 100:

Plan.default.actual_limits.update!(ci_needs_size_limit: 100)

To disable directed acyclic graphs (DAG), set the limit to 0.

Artifact downloads with needs

Introduced in GitLab v12.6.

When a job uses needs, it no longer downloads all artifacts from previous stages by default, because jobs with needs can start before earlier stages complete. With needs you can only download artifacts from the jobs listed in the needs: configuration.

Use artifacts: true (default) or artifacts: false to control when artifacts are downloaded in jobs that use needs.

In the following example, the rspec job downloads the build_job artifacts, but the rubocop job does not:

build_job:
  stage: build
  artifacts:
    paths:
      - binaries/

rspec:
  stage: test
  needs:
    - job: build_job
      artifacts: true

rubocop:
  stage: test
  needs:
    - job: build_job
      artifacts: false

In the following example, the rspec job downloads the artifacts from all three build_jobs. artifacts is:

• Set to true for build_job_1.
• Defaults to true for both build_job_2 and build_job_3.

rspec:
  needs:
    - job: build_job_1
      artifacts: true
    - job: build_job_2
    - build_job_3

In GitLab 12.6 and later, you can't combine the dependencies keyword with needs.

Cross project artifact downloads with needs (PREMIUM)

Introduced in GitLab v12.7.

Use needs to download artifacts from up to five jobs in pipelines:

• On other refs in the same project.
• In different projects, groups and namespaces.

build_job:
  stage: build
  script:
    - ls -lhR
  needs:
    - project: namespace/group/project-name
      job: build-1
      ref: main
      artifacts: true

build_job downloads the artifacts from the latest successful build-1 job on the main branch in the group/project-name project. If the project is in the same group or namespace, you can omit them from the project: keyword. For example, project: group/project-name or project: project-name.

The user running the pipeline must have at least reporter access to the group or project, or the group/project must have public visibility.

Artifact downloads between pipelines in the same project

Use needs to download artifacts from different pipelines in the current project. Set the project keyword as the current project's name, and specify a ref.

In the following example, build_job downloads the artifacts for the latest successful build-1 job with the other-ref ref:

build_job:
  stage: build
  script:
    - ls -lhR
  needs:
    - project: group/same-project-name
      job: build-1
      ref: other-ref
      artifacts: true

CI/CD variable support for project:, job:, and ref was introduced in GitLab 13.3. Feature flag removed in GitLab 13.4.

For example:

build_job:
  stage: build
  script:
    - ls -lhR
  needs:
    - project: $CI_PROJECT_PATH
      job: $DEPENDENCY_JOB_NAME
      ref: $ARTIFACTS_DOWNLOAD_REF
      artifacts: true

You can't download artifacts from jobs that run in parallel:.

To download artifacts between parent-child pipelines, use needs:pipeline.

You should not download artifacts from the same ref as a running pipeline. Concurrent pipelines running on the same ref could override the artifacts.

Artifact downloads to child pipelines

Introduced in GitLab v13.7.

A child pipeline can download artifacts from a job in its parent pipeline or another child pipeline in the same parent-child pipeline hierarchy.

For example, with the following parent pipeline that has a job that creates some artifacts:

create-artifact:
  stage: build
  script: echo 'sample artifact' > artifact.txt
  artifacts:
    paths: [artifact.txt]

child-pipeline:
  stage: test
  trigger:
    include: child.yml
    strategy: depend
  variables:
    PARENT_PIPELINE_ID: $CI_PIPELINE_ID

A job in the child pipeline can download artifacts from the create-artifact job in the parent pipeline:

use-artifact:
  script: cat artifact.txt
  needs:
    - pipeline: $PARENT_PIPELINE_ID
      job: create-artifact

The pipeline attribute accepts a pipeline ID and it must be a pipeline present in the same parent-child pipeline hierarchy of the given pipeline.

The pipeline attribute does not accept the current pipeline ID ($CI_PIPELINE_ID). To download artifacts from a job in the current pipeline, use the basic form of needs.

Optional needs

• Introduced in GitLab 13.10.
• Feature flag removed in GitLab 14.0.

To need a job that sometimes does not exist in the pipeline, add optional: true to the needs configuration. If not defined, optional: false is the default.

Jobs that use rules, only, or except, might not always exist in a pipeline. When the pipeline starts, it checks the needs relationships before running. Without optional: true, needs relationships that point to a job that does not exist stops the pipeline from starting and causes a pipeline error similar to:

• 'job1' job needs 'job2' job, but it was not added to the pipeline

In this example:

• When the branch is the default branch, the build job exists in the pipeline, and the rspec job waits for it to complete before starting.
• When the branch is not the default branch, the build job does not exist in the pipeline. The rspec job runs immediately (similar to needs: []) because its needs relationship to the build job is optional.

build:
  stage: build
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

rspec:
  stage: test
  needs:
    - job: build
      optional: true

tags

Use tags to select a specific runner from the list of all runners that are available for the project.

When you register a runner, you can specify the runner's tags, for example ruby, postgres, development.

In the following example, the job is run by a runner that has both ruby and postgres tags defined.

job:
  tags:
    - ruby
    - postgres

You can use tags to run different jobs on different platforms. For example, if you have an OS X runner with tag osx and a Windows runner with tag windows, you can run a job on each platform:

windows job:
  stage:
    - build
  tags:
    - windows
  script:
    - echo Hello, %USERNAME%!

osx job:
  stage:
    - build
  tags:
    - osx
  script:
    - echo "Hello, $USER!"

allow_failure

Use allow_failure when you want to let a job fail without impacting the rest of the CI suite. The default value is false, except for manual jobs that use the when: manual syntax.

In jobs that use rules:, all jobs default to allow_failure: false, including when: manual jobs.

When allow_failure is set to true and the job fails, the job shows an orange warning in the UI. However, the logical flow of the pipeline considers the job a success/passed, and is not blocked.

Assuming all other jobs are successful, the job's stage and its pipeline show the same orange warning. However, the associated commit is marked as "passed", without warnings.

In the following example, job1 and job2 run in parallel. If job1 fails, it doesn't stop the next stage from running, because it's marked with allow_failure: true:

job1:
  stage: test
  script:
    - execute_script_that_will_fail
  allow_failure: true

job2:
  stage: test
  script:
    - execute_script_that_will_succeed

job3:
  stage: deploy
  script:
    - deploy_to_staging

allow_failure:exit_codes

• Introduced in GitLab 13.8.
• Feature flag removed in GitLab 13.9.

Use allow_failure:exit_codes to dynamically control if a job should be allowed to fail. You can list which exit codes are not considered failures. The job fails for any other exit code:

test_job_1:
  script:
    - echo "Run a script that results in exit code 1. This job fails."
    - exit 1
  allow_failure:
    exit_codes: 137

test_job_2:
  script:
    - echo "Run a script that results in exit code 137. This job is allowed to fail."
    - exit 137
  allow_failure:
    exit_codes:
      - 137
      - 255

when

Use when to implement jobs that run in case of failure or despite the failure.

The valid values of when are:

1. on_success (default) - Execute job only when all jobs in earlier stages succeed, or are considered successful because they have allow_failure: true.
2. on_failure - Execute job only when at least one job in an earlier stage fails.
3. always - Execute job regardless of the status of jobs in earlier stages.
4. manual - Execute job manually.
5. delayed - Delay the execution of a job for a specified duration. Added in GitLab 11.14.
6. never:
   • With job rules, don't execute job.
   • With workflow:rules, don't run pipeline.

In the following example, the script:

1. Executes cleanup_build_job only when build_job fails.
2. Always executes cleanup_job as the last step in pipeline regardless of success or failure.
3. Executes deploy_job when you run it manually in the GitLab UI.

stages:
  - build
  - cleanup_build
  - test
  - deploy
  - cleanup

build_job:
  stage: build
  script:
    - make build

cleanup_build_job:
  stage: cleanup_build
  script:
    - cleanup build when failed
  when: on_failure

test_job:
  stage: test
  script:
    - make test

deploy_job:
  stage: deploy
  script:
    - make deploy
  when: manual

cleanup_job:
  stage: cleanup
  script:
    - cleanup after jobs
  when: always

when:manual

A manual job is a type of job that is not executed automatically and must be explicitly started by a user. You might want to use manual jobs for things like deploying to production.

To make a job manual, add when: manual to its configuration.

When the pipeline starts, manual jobs display as skipped and do not run automatically. They can be started from the pipeline, job, environment, and deployment views.

Manual jobs can be either optional or blocking:

• Optional: Manual jobs have `allow_failure: true set by default and are considered optional. The status of an optional manual job does not contribute to the overall pipeline status. A pipeline can succeed even if all its manual jobs fail.

• Blocking: To make a blocking manual job, add allow_failure: false to its configuration. Blocking manual jobs stop further execution of the pipeline at the stage where the job is defined. To let the pipeline continue running, click {play} (play) on the blocking manual job.

  Merge requests in projects with merge when pipeline succeeds enabled can't be merged with a blocked pipeline. Blocked pipelines show a status of blocked.

When you use rules:, allow_failure defaults to false, including for manual jobs.

To trigger a manual job, a user must have permission to merge to the assigned branch. You can use protected branches to more strictly protect manual deployments from being run by unauthorized users.

In GitLab 13.5 and later, you can use when:manual in the same job as trigger. In GitLab 13.4 and earlier, using them together causes the error jobs:#{job-name} when should be on_success, on_failure or always.

Protecting manual jobs (PREMIUM)

Use protected environments to define a list of users authorized to run a manual job. You can authorize only the users associated with a protected environment to trigger manual jobs, which can:

• More precisely limit who can deploy to an environment.
• Block a pipeline until an approved user "approves" it.

To protect a manual job:

1. Add an environment to the job. For example:

   deploy_prod:
     stage: deploy
     script:
       - echo "Deploy to production server"
     environment:
       name: production
       url: https://example.com
     when: manual
     rules:
       - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
   

2. In the protected environments settings, select the environment (production in this example) and add the users, roles or groups that are authorized to trigger the manual job to the Allowed to Deploy list. Only those in this list can trigger this manual job, as well as GitLab administrators who are always able to use protected environments.

You can use protected environments with blocking manual jobs to have a list of users allowed to approve later pipeline stages. Add allow_failure: false to the protected manual job and the pipeline's next stages only run after the manual job is triggered by authorized users.

when:delayed

Introduced in GitLab 11.4.

Use when: delayed to execute scripts after a waiting period, or if you want to avoid jobs immediately entering the pending state.

You can set the period with start_in keyword. The value of start_in is an elapsed time in seconds, unless a unit is provided. start_in must be less than or equal to one week. Examples of valid values include:

• '5'
• 5 seconds
• 30 minutes
• 1 day
• 1 week

When a stage includes a delayed job, the pipeline doesn't progress until the delayed job finishes. You can use this keyword to insert delays between different stages.

The timer of a delayed job starts immediately after the previous stage completes. Similar to other types of jobs, a delayed job's timer doesn't start unless the previous stage passes.

The following example creates a job named timed rollout 10% that is executed 30 minutes after the previous stage completes:

timed rollout 10%:
  stage: deploy
  script: echo 'Rolling out 10% ...'
  when: delayed
  start_in: 30 minutes

To stop the active timer of a delayed job, click the {time-out} (Unschedule) button. This job can no longer be scheduled to run automatically. You can, however, execute the job manually.

To start a delayed job immediately, click the Play button. Soon GitLab Runner picks up and starts the job.

environment

Use environment to define the environment that a job deploys to. For example:

deploy to production:
  stage: deploy
  script: git push production HEAD:main
  environment: production

You can assign a value to the environment keyword by using:

• Plain text, like production.
• Variables, including CI/CD variables, predefined, secure, or variables defined in the .gitlab-ci.yml file.

You can't use variables defined in a script section.

If you specify an environment and no environment with that name exists, an environment is created.

environment:name

Set a name for an environment. For example:

deploy to production:
  stage: deploy
  script: git push production HEAD:main
  environment:
    name: production

Common environment names are qa, staging, and production, but you can use any name you want.

You can assign a value to the name keyword by using:

• Plain text, like staging.
• Variables, including CI/CD variables, predefined, secure, or variables defined in the .gitlab-ci.yml file.

You can't use variables defined in a script section.

The environment name can contain:

• Letters
• Digits
• Spaces
• -
• _
• /
• $
• {
• }

environment:url

Set a URL for an environment. For example:

deploy to production:
  stage: deploy
  script: git push production HEAD:main
  environment:
    name: production
    url: https://prod.example.com

After the job completes, you can access the URL by using a button in the merge request, environment, or deployment pages.

You can assign a value to the url keyword by using:

• Plain text, like https://prod.example.com.
• Variables, including CI/CD variables, predefined, secure, or variables defined in the .gitlab-ci.yml file.

You can't use variables defined in a script section.

environment:on_stop

Closing (stopping) environments can be achieved with the on_stop keyword defined under environment. It declares a different job that runs to close the environment.

Read the environment:action section for an example.

environment:action

Use the action keyword to specify jobs that prepare, start, or stop environments.

Value	Description
start	Default value. Indicates that job starts the environment. The deployment is created after the job starts.
prepare	Indicates that the job is only preparing the environment. It does not trigger deployments. Read more about preparing environments.
stop	Indicates that job stops deployment. See the example below.

Take for instance:

review_app:
  stage: deploy
  script: make deploy-app
  environment:
    name: review/$CI_COMMIT_REF_NAME
    url: https://$CI_ENVIRONMENT_SLUG.example.com
    on_stop: stop_review_app

stop_review_app:
  stage: deploy
  variables:
    GIT_STRATEGY: none
  script: make delete-app
  when: manual
  environment:
    name: review/$CI_COMMIT_REF_NAME
    action: stop

In the above example, the review_app job deploys to the review environment. A new stop_review_app job is listed under on_stop. After the review_app job is finished, it triggers the stop_review_app job based on what is defined under when. In this case, it is set to manual, so it needs a manual action from the GitLab UI to run.

Also in the example, GIT_STRATEGY is set to none. If the stop_review_app job is automatically triggered, the runner won't try to check out the code after the branch is deleted.

The example also overwrites global variables. If your stop environment job depends on global variables, use anchor variables when you set the GIT_STRATEGY to change the job without overriding the global variables.

The stop_review_app job is required to have the following keywords defined:

• when, defined at either:
  • The job level.
  • In a rules clause. If you use rules: and when: manual, you should also set allow_failure: true so the pipeline can complete even if the job doesn't run.
• environment:name
• environment:action

Additionally, both jobs should have matching rules or only/except configuration.

In the examples above, if the configuration is not identical:

• The stop_review_app job might not be included in all pipelines that include the review_app job.
• It is not possible to trigger the action: stop to stop the environment automatically.

environment:auto_stop_in

Introduced in GitLab 12.8.

The auto_stop_in keyword is for specifying the lifetime of the environment, that when expired, GitLab automatically stops them.

For example,

review_app:
  script: deploy-review-app
  environment:
    name: review/$CI_COMMIT_REF_NAME
    auto_stop_in: 1 day

When the environment for review_app is created, the environment's lifetime is set to 1 day. Every time the review app is deployed, that lifetime is also reset to 1 day.

For more information, see the environments auto-stop documentation

environment:kubernetes

Introduced in GitLab 12.6.

Use the kubernetes keyword to configure deployments to a Kubernetes cluster that is associated with your project.

For example:

deploy:
  stage: deploy
  script: make deploy-app
  environment:
    name: production
    kubernetes:
      namespace: production

This configuration sets up the deploy job to deploy to the production environment, using the production Kubernetes namespace.

For more information, see Available settings for kubernetes.

NOTE: Kubernetes configuration is not supported for Kubernetes clusters that are managed by GitLab. To follow progress on support for GitLab-managed clusters, see the relevant issue.

environment:deployment_tier

Introduced in GitLab 13.10.

Use the deployment_tier keyword to specify the tier of the deployment environment:

deploy:
  script: echo
  environment:
    name: customer-portal
    deployment_tier: production

For more information, see Deployment tier of environments.

Dynamic environments

Use CI/CD variables to dynamically name environments.

For example:

deploy as review app:
  stage: deploy
  script: make deploy
  environment:
    name: review/$CI_COMMIT_REF_NAME
    url: https://$CI_ENVIRONMENT_SLUG.example.com/

The deploy as review app job is marked as a deployment to dynamically create the review/$CI_COMMIT_REF_NAME environment. $CI_COMMIT_REF_NAME is a CI/CD variable set by the runner. The $CI_ENVIRONMENT_SLUG variable is based on the environment name, but suitable for inclusion in URLs. If the deploy as review app job runs in a branch named pow, this environment would be accessible with a URL like https://review-pow.example.com/.

The common use case is to create dynamic environments for branches and use them as Review Apps. You can see an example that uses Review Apps at https://gitlab.com/gitlab-examples/review-apps-nginx/.

cache

Use cache to specify a list of files and directories to cache between jobs. You can only use paths that are in the local working copy.

If cache is defined outside the scope of jobs, it's set globally and all jobs use that configuration.

Caching is shared between pipelines and jobs. Caches are restored before artifacts.

Read how caching works and find out some good practices in the caching dependencies documentation.

cache:paths

Use the paths directive to choose which files or directories to cache. Paths are relative to the project directory ($CI_PROJECT_DIR) and can't directly link outside it. You can use Wildcards that use glob patterns and:

• In GitLab Runner 13.0 and later, doublestar.Glob.
• In GitLab Runner 12.10 and earlier, filepath.Match.

Cache all files in binaries that end in .apk and the .config file:

rspec:
  script: test
  cache:
    paths:
      - binaries/*.apk
      - .config

Locally defined cache overrides globally defined options. The following rspec job caches only binaries/:

cache:
  paths:
    - my/files

rspec:
  script: test
  cache:
    key: rspec
    paths:
      - binaries/

The cache is shared between jobs, so if you're using different paths for different jobs, you should also set a different cache:key. Otherwise cache content can be overwritten.

cache:key

The key keyword defines the affinity of caching between jobs. You can have a single cache for all jobs, cache per-job, cache per-branch, or any other way that fits your workflow. You can fine tune caching, including caching data between different jobs or even different branches.

The cache:key variable can use any of the predefined variables. The default key, if not set, is just literal default, which means everything is shared between pipelines and jobs by default.

For example, to enable per-branch caching:

cache:
  key: "$CI_COMMIT_REF_SLUG"
  paths:
    - binaries/

If you use Windows Batch to run your shell scripts you need to replace $ with %:

cache:
  key: "%CI_COMMIT_REF_SLUG%"
  paths:
    - binaries/

The cache:key variable can't contain the / character, or the equivalent URI-encoded %2F. A value made only of dots (., %2E) is also forbidden.

You can specify a fallback cache key to use if the specified cache:key is not found.

Multiple caches

• Introduced in GitLab 13.10.
• Feature Flag removed, in GitLab 13.12.

You can have a maximum of four caches:

test-job:
  stage: build
  cache:
    - key:
        files:
          - Gemfile.lock
      paths:
        - vendor/ruby
    - key:
        files:
          - yarn.lock
      paths:
        - .yarn-cache/
  script:
    - bundle install --path=vendor
    - yarn install --cache-folder .yarn-cache
    - echo Run tests...

If multiple caches are combined with a Fallback cache key, the fallback is fetched multiple times if multiple caches are not found.

Fallback cache key

Introduced in GitLab Runner 13.4.

You can use the $CI_COMMIT_REF_SLUG variable to specify your cache:key. For example, if your $CI_COMMIT_REF_SLUG is test you can set a job to download cache that's tagged with test.

If a cache with this tag is not found, you can use CACHE_FALLBACK_KEY to specify a cache to use when none exists.

In the following example, if the $CI_COMMIT_REF_SLUG is not found, the job uses the key defined by the CACHE_FALLBACK_KEY variable:

variables:
  CACHE_FALLBACK_KEY: fallback-key

cache:
  key: "$CI_COMMIT_REF_SLUG"
  paths:
    - binaries/

cache:key:files

Introduced in GitLab v12.5.

The cache:key:files keyword extends the cache:key functionality by making it easier to reuse some caches, and rebuild them less often, which speeds up subsequent pipeline runs.

When you include cache:key:files, you must also list the project files that are used to generate the key, up to a maximum of two files. The cache key is a SHA checksum computed from the most recent commits (up to two, if two files are listed) that changed the given files. If neither file is changed in any commits, the fallback key is default.

cache:
  key:
    files:
      - Gemfile.lock
      - package.json
  paths:
    - vendor/ruby
    - node_modules

This example creates a cache for Ruby and Node.js dependencies that is tied to current versions of the Gemfile.lock and package.json files. Whenever one of these files changes, a new cache key is computed and a new cache is created. Any future job runs that use the same Gemfile.lock and package.json with cache:key:files use the new cache, instead of rebuilding the dependencies.

cache:key:prefix

Introduced in GitLab v12.5.

When you want to combine a prefix with the SHA computed for cache:key:files, use the prefix keyword with key:files. For example, if you add a prefix of test, the resulting key is: test-feef9576d21ee9b6a32e30c5c79d0a0ceb68d1e5. If neither file is changed in any commits, the prefix is added to default, so the key in the example would be test-default.

Like cache:key, prefix can use any of the predefined variables, but cannot include:

• the / character (or the equivalent URI-encoded %2F)
• a value made only of . (or the equivalent URI-encoded %2E)

cache:
  key:
    files:
      - Gemfile.lock
    prefix: ${CI_JOB_NAME}
  paths:
    - vendor/ruby

rspec:
  script:
    - bundle exec rspec

For example, adding a prefix of $CI_JOB_NAME causes the key to look like: rspec-feef9576d21ee9b6a32e30c5c79d0a0ceb68d1e5 and the job cache is shared across different branches. If a branch changes Gemfile.lock, that branch has a new SHA checksum for cache:key:files. A new cache key is generated, and a new cache is created for that key. If Gemfile.lock is not found, the prefix is added to default, so the key in the example would be rspec-default.

cache:untracked

Set untracked: true to cache all files that are untracked in your Git repository:

rspec:
  script: test
  cache:
    untracked: true

Cache all Git untracked files and files in binaries:

rspec:
  script: test
  cache:
    untracked: true
    paths:
      - binaries/

cache:when

Introduced in GitLab 13.5 and GitLab Runner v13.5.0.

cache:when defines when to save the cache, based on the status of the job. You can set cache:when to:

• on_success (default): Save the cache only when the job succeeds.
• on_failure: Save the cache only when the job fails.
• always: Always save the cache.

For example, to store a cache whether or not the job fails or succeeds:

rspec:
  script: rspec
  cache:
    paths:
      - rspec/
    when: 'always'

cache:policy

The default behavior of a caching job is to download the files at the start of execution, and to re-upload them at the end. Any changes made by the job are persisted for future runs. This behavior is known as the pull-push cache policy.

If you know the job does not alter the cached files, you can skip the upload step by setting policy: pull in the job specification. You can add an ordinary cache job at an earlier stage to ensure the cache is updated from time to time:

stages:
  - setup
  - test

prepare:
  stage: setup
  cache:
    key: gems
    paths:
      - vendor/bundle
  script:
    - bundle install --deployment

rspec:
  stage: test
  cache:
    key: gems
    paths:
      - vendor/bundle
    policy: pull
  script:
    - bundle exec rspec ...

Use the pull policy when you have many jobs executing in parallel that use caches. This policy speeds up job execution and reduces load on the cache server.

If you have a job that unconditionally recreates the cache without referring to its previous contents, you can skip the download step. To do so, add policy: push to the job.

artifacts

Use artifacts to specify a list of files and directories that are attached to the job when it succeeds, fails, or always.

The artifacts are sent to GitLab after the job finishes. They are available for download in the GitLab UI if the size is not larger than the maximum artifact size.

By default, jobs in later stages automatically download all the artifacts created by jobs in earlier stages. You can control artifact download behavior in jobs with dependencies.

When using the needs keyword, jobs can only download artifacts from the jobs defined in the needs configuration.

Job artifacts are only collected for successful jobs by default, and artifacts are restored after caches.

Read more about artifacts.

dependencies

By default, all artifacts from previous stages are passed to each job. However, you can use the dependencies keyword to define a limited list of jobs to fetch artifacts from. You can also set a job to download no artifacts at all.

To use this feature, define dependencies in context of the job and pass a list of all previous jobs the artifacts should be downloaded from.

You can define jobs from stages that were executed before the current one. An error occurs if you define jobs from the current or an upcoming stage.

To prevent a job from downloading artifacts, define an empty array.

When you use dependencies, the status of the previous job is not considered. If a job fails or it's a manual job that isn't triggered, no error occurs.

The following example defines two jobs with artifacts: build:osx and build:linux. When the test:osx is executed, the artifacts from build:osx are downloaded and extracted in the context of the build. The same happens for test:linux and artifacts from build:linux.

The job deploy downloads artifacts from all previous jobs because of the stage precedence:

build:osx:
  stage: build
  script: make build:osx
  artifacts:
    paths:
      - binaries/

build:linux:
  stage: build
  script: make build:linux
  artifacts:
    paths:
      - binaries/

test:osx:
  stage: test
  script: make test:osx
  dependencies:
    - build:osx

test:linux:
  stage: test
  script: make test:linux
  dependencies:
    - build:linux

deploy:
  stage: deploy
  script: make deploy

When a dependent job fails

Introduced in GitLab 10.3.

If the artifacts of the job that is set as a dependency are expired or deleted, then the dependent job fails.

artifacts:exclude

• Introduced in GitLab 13.1
• Requires GitLab Runner 13.1

exclude makes it possible to prevent files from being added to an artifacts archive.

Similar to artifacts:paths, exclude paths are relative to the project directory. You can use Wildcards that use glob or doublestar.PathMatch patterns.

For example, to store all files in binaries/, but not *.o files located in subdirectories of binaries/:

artifacts:
  paths:
    - binaries/
  exclude:
    - binaries/**/*.o

Unlike artifacts:paths, exclude paths are not recursive. To exclude all of the contents of a directory, you can match them explicitly rather than matching the directory itself.

For example, to store all files in binaries/ but nothing located in the temp/ subdirectory:

artifacts:
  paths:
    - binaries/
  exclude:
    - binaries/temp/**/*

Files matched by artifacts:untracked can be excluded using artifacts:exclude too.

artifacts:expire_in

• Introduced in GitLab 13.0 behind a disabled feature flag, the latest job artifacts are kept regardless of expiry time.
• Made default behavior in GitLab 13.4.
• Introduced in GitLab 13.8, keeping latest job artifacts can be disabled at the project level.
• Introduced in GitLab 13.9, keeping latest job artifacts can be disabled instance-wide.
• Introduced in GitLab 13.12, the latest pipeline artifacts are kept regardless of expiry time.

Use expire_in to specify how long job artifacts are stored before they expire and are deleted. The expire_in setting does not affect:

• Artifacts from the latest job, unless this keeping the latest job artifacts is:
  • Disabled at the project level.
  • Disabled instance-wide.
• Pipeline artifacts. It's not possible to specify an expiration date for these:
  • Pipeline artifacts from the latest pipeline are kept forever.
  • Other pipeline artifacts are erased after one week.

The value of expire_in is an elapsed time in seconds, unless a unit is provided. Valid values include:

• '42'
• 42 seconds
• 3 mins 4 sec
• 2 hrs 20 min
• 2h20min
• 6 mos 1 day
• 47 yrs 6 mos and 4d
• 3 weeks and 2 days
• never

To expire artifacts one week after being uploaded:

job:
  artifacts:
    expire_in: 1 week

The expiration time period begins when the artifact is uploaded and stored on GitLab. If the expiry time is not defined, it defaults to the instance wide setting (30 days by default).

To override the expiration date and protect artifacts from being automatically deleted:

• Use the Keep button on the job page.
• In GitLab 13.3 and later, set the value of expire_in to never.

After their expiry, artifacts are deleted hourly by default (using a cron job), and are not accessible anymore.

artifacts:expose_as

Introduced in GitLab 12.5.

Use the expose_as keyword to expose job artifacts in the merge request UI.

For example, to match a single file:

test:
  script: ["echo 'test' > file.txt"]
  artifacts:
    expose_as: 'artifact 1'
    paths: ['file.txt']

With this configuration, GitLab adds a link artifact 1 to the relevant merge request that points to file1.txt. To access the link, select View exposed artifact below the pipeline graph in the merge request overview.

An example that matches an entire directory:

test:
  script: ["mkdir test && echo 'test' > test/file.txt"]
  artifacts:
    expose_as: 'artifact 1'
    paths: ['test/']

Note the following:

• Artifacts do not display in the merge request UI when using variables to define the artifacts:paths.
• A maximum of 10 job artifacts per merge request can be exposed.
• Glob patterns are unsupported.
• If a directory is specified, the link is to the job artifacts browser if there is more than one file in the directory.
• For exposed single file artifacts with .html, .htm, .txt, .json, .xml, and .log extensions, if GitLab Pages is:
  • Enabled, GitLab automatically renders the artifact.
  • Not enabled, the file is displayed in the artifacts browser.

artifacts:name

Use the name directive to define the name of the created artifacts archive. You can specify a unique name for every archive. The artifacts:name variable can make use of any of the predefined variables. The default name is artifacts, which becomes artifacts.zip when you download it.

To create an archive with a name of the current job:

job:
  artifacts:
    name: "$CI_JOB_NAME"
    paths:
      - binaries/

To create an archive with a name of the current branch or tag including only the binaries directory:

job:
  artifacts:
    name: "$CI_COMMIT_REF_NAME"
    paths:
      - binaries/

If your branch-name contains forward slashes (for example feature/my-feature) it's advised to use $CI_COMMIT_REF_SLUG instead of $CI_COMMIT_REF_NAME for proper naming of the artifact.

To create an archive with a name of the current job and the current branch or tag including only the binaries directory:

job:
  artifacts:
    name: "$CI_JOB_NAME-$CI_COMMIT_REF_NAME"
    paths:
      - binaries/

To create an archive with a name of the current stage and branch name:

job:
  artifacts:
    name: "$CI_JOB_STAGE-$CI_COMMIT_REF_NAME"
    paths:
      - binaries/

---

If you use Windows Batch to run your shell scripts you need to replace $ with %:

job:
  artifacts:
    name: "%CI_JOB_STAGE%-%CI_COMMIT_REF_NAME%"
    paths:
      - binaries/

If you use Windows PowerShell to run your shell scripts you need to replace $ with $env::

job:
  artifacts:
    name: "$env:CI_JOB_STAGE-$env:CI_COMMIT_REF_NAME"
    paths:
      - binaries/

artifacts:paths

Paths are relative to the project directory ($CI_PROJECT_DIR) and can't directly link outside it. You can use Wildcards that use glob patterns and:

• In GitLab Runner 13.0 and later, doublestar.Glob.
• In GitLab Runner 12.10 and earlier, filepath.Match.

To restrict which jobs a specific job fetches artifacts from, see dependencies.

Send all files in binaries and .config:

artifacts:
  paths:
    - binaries/
    - .config

To disable artifact passing, define the job with empty dependencies:

job:
  stage: build
  script: make build
  dependencies: []

You may want to create artifacts only for tagged releases to avoid filling the build server storage with temporary build artifacts.

Create artifacts only for tags (default-job doesn't create artifacts):

default-job:
  script:
    - mvn test -U
  rules:
    - if: $CI_COMMIT_BRANCH

release-job:
  script:
    - mvn package -U
  artifacts:
    paths:
      - target/*.war
  rules:
    - if: $CI_COMMIT_TAG

You can use wildcards for directories too. For example, if you want to get all the files inside the directories that end with xyz:

job:
  artifacts:
    paths:
      - path/*xyz/*

artifacts:public

• Introduced in GitLab 13.8
• It's deployed behind a feature flag, disabled by default.
• It's disabled on GitLab.com.
• It's recommended for production use.

Use artifacts:public to determine whether the job artifacts should be publicly available.

The default for artifacts:public is true which means that the artifacts in public pipelines are available for download by anonymous and guest users:

artifacts:
  public: true

To deny read access for anonymous and guest users to artifacts in public pipelines, set artifacts:public to false:

artifacts:
  public: false

artifacts:reports

• Introduced in GitLab 11.2.
• Requires GitLab Runner 11.2 and above.

Use artifacts:reports to collect test reports, code quality reports, and security reports from jobs. It also exposes these reports in the GitLab UI (merge requests, pipeline views, and security dashboards).

The test reports are collected regardless of the job results (success or failure). You can use artifacts:expire_in to set up an expiration date for their artifacts.

If you also want the ability to browse the report output files, include the artifacts:paths keyword.

artifacts:reports:api_fuzzing (ULTIMATE)

• Introduced in GitLab 13.4.
• Requires GitLab Runner 13.4 or later.

The api_fuzzing report collects API Fuzzing bugs as artifacts.

The collected API Fuzzing report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:cobertura

• Introduced in GitLab 12.9.
• Requires GitLab Runner 11.5 and above.

The cobertura report collects Cobertura coverage XML files. The collected Cobertura coverage reports upload to GitLab as an artifact and display in merge requests.

Cobertura was originally developed for Java, but there are many third party ports for other languages like JavaScript, Python, Ruby, and so on.

artifacts:reports:codequality

• Introduced in GitLab 11.5.
• Moved to GitLab Free in 13.2.
• Requires GitLab Runner 11.5 and above.

The codequality report collects Code Quality issues as artifacts.

The collected Code Quality report uploads to GitLab as an artifact and is summarized in merge requests.

artifacts:reports:container_scanning (ULTIMATE)

• Introduced in GitLab 11.5.
• Requires GitLab Runner 11.5 and above.

The container_scanning report collects Container Scanning vulnerabilities as artifacts.

The collected Container Scanning report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:coverage_fuzzing (ULTIMATE)

• Introduced in GitLab 13.4.
• Requires GitLab Runner 13.4 or later.

The coverage_fuzzing report collects coverage fuzzing bugs as artifacts.

The collected coverage fuzzing report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:dast (ULTIMATE)

• Introduced in GitLab 11.5.
• Requires GitLab Runner 11.5 and above.

The dast report collects DAST vulnerabilities as artifacts.

The collected DAST report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:dependency_scanning (ULTIMATE)

• Introduced in GitLab 11.5.
• Requires GitLab Runner 11.5 and above.

The dependency_scanning report collects Dependency Scanning vulnerabilities as artifacts.

The collected Dependency Scanning report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:dotenv

• Introduced in GitLab 12.9.
• Requires GitLab Runner 11.5 and later.

The dotenv report collects a set of environment variables as artifacts.

The collected variables are registered as runtime-created variables of the job, which is useful to set dynamic environment URLs after a job finishes.

There are a couple of exceptions to the original dotenv rules:

• The variable key can contain only letters, digits, and underscores (_).
• The maximum size of the .env file is 5 KB.
• In GitLab 13.5 and older, the maximum number of inherited variables is 10.
• In GitLab 13.6 and later, the maximum number of inherited variables is 20.
• Variable substitution in the .env file is not supported.
• The .env file can't have empty lines or comments (starting with #).
• Key values in the env file cannot have spaces or newline characters (\n), including when using single or double quotes.
• Quote escaping during parsing (key = 'value' -> {key: "value"}) is not supported.

artifacts:reports:junit

• Introduced in GitLab 11.2.
• Requires GitLab Runner 11.2 and above.

The junit report collects JUnit report format XML files as artifacts. Although JUnit was originally developed in Java, there are many third party ports for other languages like JavaScript, Python, Ruby, and so on.

See Unit test reports for more details and examples. Below is an example of collecting a JUnit report format XML file from Ruby's RSpec test tool:

rspec:
  stage: test
  script:
    - bundle install
    - rspec --format RspecJunitFormatter --out rspec.xml
  artifacts:
    reports:
      junit: rspec.xml

The collected Unit test reports upload to GitLab as an artifact and display in merge requests.

If the JUnit tool you use exports to multiple XML files, specify multiple test report paths within a single job to concatenate them into a single file. Use a filename pattern (junit: rspec-*.xml), an array of filenames (junit: [rspec-1.xml, rspec-2.xml, rspec-3.xml]), or a combination thereof (junit: [rspec.xml, test-results/TEST-*.xml]).

artifacts:reports:license_scanning (ULTIMATE)

• Introduced in GitLab 12.8.
• Requires GitLab Runner 11.5 and above.

The license_scanning report collects Licenses as artifacts.

The License Compliance report uploads to GitLab as an artifact and displays automatically in merge requests and the pipeline view, and provide data for security dashboards.

artifacts:reports:load_performance (PREMIUM)

• Introduced in GitLab 13.2 in GitLab Premium 13.2.
• Requires GitLab Runner 11.5 and above.

The load_performance report collects Load Performance Testing metrics as artifacts.

The report is uploaded to GitLab as an artifact and is shown in merge requests automatically.

artifacts:reports:metrics (PREMIUM)

Introduced in GitLab 11.10.

The metrics report collects Metrics as artifacts.

The collected Metrics report uploads to GitLab as an artifact and displays in merge requests.

artifacts:reports:browser_performance (PREMIUM)

• Introduced in GitLab 11.5.
• Requires GitLab Runner 11.5 and above.
• Name changed from artifacts:reports:performance in GitLab 14.0.

The browser_performance report collects Browser Performance Testing metrics as artifacts.

The collected Browser Performance report uploads to GitLab as an artifact and displays in merge requests.

artifacts:reports:requirements (ULTIMATE)

• Introduced in GitLab 13.1.
• Requires GitLab Runner 11.5 and above.

The requirements report collects requirements.json files as artifacts.

The collected Requirements report uploads to GitLab as an artifact and existing requirements are marked as Satisfied.

artifacts:reports:sast

• Introduced in GitLab 11.5.
• Made available in all tiers in GitLab 13.3.
• Requires GitLab Runner 11.5 and above.

The sast report collects SAST vulnerabilities as artifacts.

The collected SAST report uploads to GitLab as an artifact and is summarized in merge requests and the pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:secret_detection

• Introduced in GitLab 13.1.
• Made available in all tiers in GitLab 13.3.
• Requires GitLab Runner 11.5 and above.

The secret-detection report collects detected secrets as artifacts.

The collected Secret Detection report is uploaded to GitLab as an artifact and summarized in the merge requests and pipeline view. It's also used to provide data for security dashboards.

artifacts:reports:terraform

• Introduced in GitLab 13.0.
• Requires GitLab Runner 11.5 and above.

The terraform report obtains a Terraform tfplan.json file. JQ processing required to remove credentials. The collected Terraform plan report uploads to GitLab as an artifact and displays in merge requests. For more information, see Output terraform plan information into a merge request.

artifacts:untracked

Use artifacts:untracked to add all Git untracked files as artifacts (along with the paths defined in artifacts:paths). artifacts:untracked ignores configuration in the repository's .gitignore file.

Send all Git untracked files:

artifacts:
  untracked: true

Send all Git untracked files and files in binaries:

artifacts:
  untracked: true
  paths:
    - binaries/

Send all untracked files but exclude *.txt:

artifacts:
  untracked: true
  exclude:
    - "*.txt"

artifacts:when

Use artifacts:when to upload artifacts on job failure or despite the failure.

artifacts:when can be set to one of the following values:

1. on_success (default): Upload artifacts only when the job succeeds.
2. on_failure: Upload artifacts only when the job fails.
3. always: Always upload artifacts. Useful, for example, when uploading artifacts required to troubleshoot failing tests.

For example, to upload artifacts only when a job fails:

job:
  artifacts:
    when: on_failure

coverage

Use coverage to configure how code coverage is extracted from the job output.

Regular expressions are the only valid kind of value expected here. So, using surrounding / is mandatory to consistently and explicitly represent a regular expression string. You must escape special characters if you want to match them literally.

For example:

job1:
  script: rspec
  coverage: '/Code coverage: \d+\.\d+/'

The coverage is shown in the UI if at least one line in the job output matches the regular expression. If there is more than one matched line in the job output, the last line is used. For the matched line, the first occurrence of \d+(\.\d+)? is the code coverage. Leading zeros are removed.

Coverage output from child pipelines is not recorded or displayed. Check the related issue for more details.

retry

Introduced in GitLab 11.5, you can control which failures to retry on.

Use retry to configure how many times a job is retried in case of a failure.

When a job fails, the job is processed again, until the limit specified by the retry keyword is reached.

If retry is set to 2, and a job succeeds in a second run (first retry), it is not retried. The retry value must be a positive integer, from 0 to 2 (two retries maximum, three runs in total).

The following example retries all failure cases:

test:
  script: rspec
  retry: 2

By default, a job is retried on all failure cases. To have better control over which failures to retry, retry can be a hash with the following keys:

• max: The maximum number of retries.
• when: The failure cases to retry.

To retry only runner system failures at maximum two times:

test:
  script: rspec
  retry:
    max: 2
    when: runner_system_failure

If there is another failure, other than a runner system failure, the job is not retried.

To retry on multiple failure cases, when can also be an array of failures:

test:
  script: rspec
  retry:
    max: 2
    when:
      - runner_system_failure
      - stuck_or_timeout_failure

Possible values for when are:

• always: Retry on any failure (default).
• unknown_failure: Retry when the failure reason is unknown.
• script_failure: Retry when the script failed.
• api_failure: Retry on API failure.
• stuck_or_timeout_failure: Retry when the job got stuck or timed out.
• runner_system_failure: Retry if there is a runner system failure (for example, job setup failed).
• missing_dependency_failure: Retry if a dependency is missing.
• runner_unsupported: Retry if the runner is unsupported.
• stale_schedule: Retry if a delayed job could not be executed.
• job_execution_timeout: Retry if the script exceeded the maximum execution time set for the job.
• archived_failure: Retry if the job is archived and can't be run.
• unmet_prerequisites: Retry if the job failed to complete prerequisite tasks.
• scheduler_failure: Retry if the scheduler failed to assign the job to a runner.
• data_integrity_failure: Retry if there is a structural integrity problem detected.

You can specify the number of retry attempts for certain stages of job execution using variables.

timeout

Introduced in GitLab 12.3.

Use timeout to configure a timeout for a specific job. For example:

build:
  script: build.sh
  timeout: 3 hours 30 minutes

test:
  script: rspec
  timeout: 3h 30m

The job-level timeout can exceed the project-level timeout but can't exceed the runner-specific timeout.

parallel

Introduced in GitLab 11.5.

Use parallel to configure how many instances of a job to run in parallel. The value can be from 2 to 50.

The parallel keyword creates N instances of the same job that run in parallel. They are named sequentially from job_name 1/N to job_name N/N:

test:
  script: rspec
  parallel: 5

Every parallel job has a CI_NODE_INDEX and CI_NODE_TOTAL predefined CI/CD variable set.

Different languages and test suites have different methods to enable parallelization. For example, use Semaphore Test Boosters and RSpec to run Ruby tests in parallel:

# Gemfile
source 'https://rubygems.org'

gem 'rspec'
gem 'semaphore_test_boosters'

test:
  parallel: 3
  script:
    - bundle
    - bundle exec rspec_booster --job $CI_NODE_INDEX/$CI_NODE_TOTAL

WARNING: Test Boosters reports usage statistics to the author.

You can then navigate to the Jobs tab of a new pipeline build and see your RSpec job split into three separate jobs.

Parallel matrix jobs

• Introduced in GitLab 13.3.

Use matrix: to run a job multiple times in parallel in a single pipeline, but with different variable values for each instance of the job. There can be from 2 to 50 jobs.

Jobs can only run in parallel if there are multiple runners, or a single runner is configured to run multiple jobs concurrently.

Every job gets the same CI_NODE_TOTAL CI/CD variable value, and a unique CI_NODE_INDEX value.

deploystacks:
  stage: deploy
  script:
    - bin/deploy
  parallel:
    matrix:
      - PROVIDER: aws
        STACK:
          - monitoring
          - app1
          - app2
      - PROVIDER: ovh
        STACK: [monitoring, backup, app]
      - PROVIDER: [gcp, vultr]
        STACK: [data, processing]

The following example generates 10 parallel deploystacks jobs, each with different values for PROVIDER and STACK:

deploystacks: [aws, monitoring]
deploystacks: [aws, app1]
deploystacks: [aws, app2]
deploystacks: [ovh, monitoring]
deploystacks: [ovh, backup]
deploystacks: [ovh, app]
deploystacks: [gcp, data]
deploystacks: [gcp, processing]
deploystacks: [vultr, data]
deploystacks: [vultr, processing]

The job naming style was improved in GitLab 13.4.

One-dimensional matrix jobs

Introduced in GitLab 13.5.

You can also have one-dimensional matrices with a single job:

deploystacks:
  stage: deploy
  script:
    - bin/deploy
  parallel:
    matrix:
      - PROVIDER: [aws, ovh, gcp, vultr]

Parallel matrix trigger jobs

Introduced in GitLab 13.10.

Use matrix: to run a trigger job multiple times in parallel in a single pipeline, but with different variable values for each instance of the job.

deploystacks:
  stage: deploy
  trigger:
    include: path/to/child-pipeline.yml
  parallel:
    matrix:
      - PROVIDER: aws
        STACK: [monitoring, app1]
      - PROVIDER: ovh
        STACK: [monitoring, backup]
      - PROVIDER: [gcp, vultr]
        STACK: [data]

This example generates 6 parallel deploystacks trigger jobs, each with different values for PROVIDER and STACK, and they create 6 different child pipelines with those variables.

deploystacks: [aws, monitoring]
deploystacks: [aws, app1]
deploystacks: [ovh, monitoring]
deploystacks: [ovh, backup]
deploystacks: [gcp, data]
deploystacks: [vultr, data]

trigger

• Introduced in GitLab Premium 11.8.
• Moved to GitLab Free in 12.8.

Use trigger to define a downstream pipeline trigger. When GitLab starts a trigger job, a downstream pipeline is created.

Jobs with trigger can only use a limited set of keywords. For example, you can't run commands with script, before_script, or after_script.

You can use this keyword to create two different types of downstream pipelines:

• Multi-project pipelines
• Child pipelines

In GitLab 13.2 and later, you can view which job triggered a downstream pipeline. In the pipeline graph, hover over the downstream pipeline job.

In GitLab 13.5 and later, you can use when:manual in the same job as trigger. In GitLab 13.4 and earlier, using them together causes the error jobs:#{job-name} when should be on_success, on_failure or always. You cannot start manual trigger jobs with the API.

Basic trigger syntax for multi-project pipelines

You can configure a downstream trigger by using the trigger keyword with a full path to a downstream project:

rspec:
  stage: test
  script: bundle exec rspec

staging:
  stage: deploy
  trigger: my/deployment

Complex trigger syntax for multi-project pipelines

You can configure a branch name that GitLab uses to create a downstream pipeline with:

rspec:
  stage: test
  script: bundle exec rspec

staging:
  stage: deploy
  trigger:
    project: my/deployment
    branch: stable

To mirror the status from a triggered pipeline:

trigger_job:
  trigger:
    project: my/project
    strategy: depend

To mirror the status from an upstream pipeline:

upstream_bridge:
  stage: test
  needs:
    pipeline: other/project

trigger syntax for child pipeline

Introduced in GitLab 12.7.

To create a child pipeline, specify the path to the YAML file that contains the configuration of the child pipeline:

trigger_job:
  trigger:
    include: path/to/child-pipeline.yml

Similar to multi-project pipelines, it's possible to mirror the status from a triggered pipeline:

trigger_job:
  trigger:
    include:
      - local: path/to/child-pipeline.yml
    strategy: depend

Trigger child pipeline with generated configuration file

Introduced in GitLab 12.9.

You can also trigger a child pipeline from a dynamically generated configuration file:

generate-config:
  stage: build
  script: generate-ci-config > generated-config.yml
  artifacts:
    paths:
      - generated-config.yml

child-pipeline:
  stage: test
  trigger:
    include:
      - artifact: generated-config.yml
        job: generate-config

The generated-config.yml is extracted from the artifacts and used as the configuration for triggering the child pipeline.

Trigger child pipeline with files from another project

Introduced in GitLab 13.5.

To trigger child pipelines with files from another private project under the same GitLab instance, use include:file:

child-pipeline:
  trigger:
    include:
      - project: 'my-group/my-pipeline-library'
        ref: 'main'
        file: '/path/to/child-pipeline.yml'

Linking pipelines with trigger:strategy

By default, the trigger job completes with the success status as soon as the downstream pipeline is created.

To force the trigger job to wait for the downstream (multi-project or child) pipeline to complete, use strategy: depend. This setting makes the trigger job wait with a "running" status until the triggered pipeline completes. At that point, the trigger job completes and displays the same status as the downstream job.

This setting can help keep your pipeline execution linear. In the following example, jobs from subsequent stages wait for the triggered pipeline to successfully complete before starting, which reduces parallelization.

trigger_job:
  trigger:
    include: path/to/child-pipeline.yml
    strategy: depend

Trigger a pipeline by API call

To force a rebuild of a specific branch, tag, or commit, you can use an API call with a trigger token.

The trigger token is different than the trigger keyword.

Read more in the triggers documentation.

interruptible

Introduced in GitLab 12.3.

Use interruptible to indicate that a running job should be canceled if made redundant by a newer pipeline run. Defaults to false (uninterruptible). Jobs that have not started yet (pending) are considered interruptible and safe to be cancelled. This value is used only if the automatic cancellation of redundant pipelines feature is enabled.

When enabled, a pipeline is immediately canceled when a new pipeline starts on the same branch if either of the following is true:

• All jobs in the pipeline are set as interruptible.
• Any uninterruptible jobs have not started yet.

Set jobs as interruptible that can be safely canceled once started (for instance, a build job).

In the following example, a new pipeline run causes an existing running pipeline to be:

• Canceled, if only step-1 is running or pending.
• Not canceled, once step-2 starts running.

After an uninterruptible job starts running, the pipeline cannot be canceled.

stages:
  - stage1
  - stage2
  - stage3

step-1:
  stage: stage1
  script:
    - echo "Can be canceled."
  interruptible: true

step-2:
  stage: stage2
  script:
    - echo "Can not be canceled."

step-3:
  stage: stage3
  script:
    - echo "Because step-2 can not be canceled, this step can never be canceled, even though it's set as interruptible."
  interruptible: true

resource_group

Introduced in GitLab 12.7.

Sometimes running multiple jobs or pipelines at the same time in an environment can lead to errors during the deployment.

To avoid these errors, use the resource_group attribute to make sure that the runner doesn't run certain jobs simultaneously. Resource groups behave similar to semaphores in other programming languages.

When the resource_group keyword is defined for a job in the .gitlab-ci.yml file, job executions are mutually exclusive across different pipelines for the same project. If multiple jobs belonging to the same resource group are enqueued simultaneously, only one of the jobs is picked by the runner. The other jobs wait until the resource_group is free.

For example:

deploy-to-production:
  script: deploy
  resource_group: production

In this case, two deploy-to-production jobs in two separate pipelines can never run at the same time. As a result, you can ensure that concurrent deployments never happen to the production environment.

You can define multiple resource groups per environment. For example, when deploying to physical devices, you may have multiple physical devices. Each device can be deployed to, but there can be only one deployment per device at any given time.

The resource_group value can only contain letters, digits, -, _, /, $, {, }, ., and spaces. It can't start or end with /.

For more information, see Deployments Safety.

Pipeline-level concurrency control with Cross-Project/Parent-Child pipelines

Introduced in GitLab 13.9.

You can define resource_group for downstream pipelines that are sensitive to concurrent executions. The trigger keyword can trigger downstream pipelines. The resource_group keyword can co-exist with it. This is useful to control the concurrency for deployment pipelines, while running non-sensitive jobs concurrently.

The following example has two pipeline configurations in a project. When a pipeline starts running, non-sensitive jobs are executed first and aren't affected by concurrent executions in other pipelines. However, GitLab ensures that there are no other deployment pipelines running before triggering a deployment (child) pipeline. If other deployment pipelines are running, GitLab waits until those pipelines finish before running another one.

# .gitlab-ci.yml (parent pipeline)

build:
  stage: build
  script: echo "Building..."

test:
  stage: test
  script: echo "Testing..."

deploy:
  stage: deploy
  trigger:
    include: deploy.gitlab-ci.yml
    strategy: depend
  resource_group: AWS-production

# deploy.gitlab-ci.yml (child pipeline)

stages:
  - provision
  - deploy

provision:
  stage: provision
  script: echo "Provisioning..."

deployment:
  stage: deploy
  script: echo "Deploying..."

You must define strategy: depend with the trigger keyword. This ensures that the lock isn't released until the downstream pipeline finishes.

release

Introduced in GitLab 13.2.

Use release to create a release. Requires the release-cli to be available in your GitLab Runner Docker or shell executor.

These keywords are supported:

• tag_name
• description
• name (optional)
• ref (optional)
• milestones (optional)
• released_at (optional)
• assets:links (optional)

The release is created only if the job processes without error. If the Rails API returns an error during release creation, the release job fails.

release-cli Docker image

You must specify the Docker image to use for the release-cli:

image: registry.gitlab.com/gitlab-org/release-cli:latest

release-cli for shell executors

Introduced in GitLab 13.8.

For GitLab Runner shell executors, you can download and install the release-cli manually for your supported OS and architecture. Once installed, the release keyword should be available to you.

Install on Unix/Linux

1. Download the binary for your system, in the following example for amd64 systems:

curl --location --output /usr/local/bin/release-cli "https://release-cli-downloads.s3.amazonaws.com/latest/release-cli-linux-amd64"

1. Give it permissions to execute:

sudo chmod +x /usr/local/bin/release-cli

1. Verify release-cli is available:

$ release-cli -v

release-cli version 0.6.0

Install on Windows PowerShell

1. Create a folder somewhere in your system, for example C:\GitLab\Release-CLI\bin

New-Item -Path 'C:\GitLab\Release-CLI\bin' -ItemType Directory

1. Download the executable file:

PS C:\> Invoke-WebRequest -Uri "https://release-cli-downloads.s3.amazonaws.com/latest/release-cli-windows-amd64.exe" -OutFile "C:\GitLab\Release-CLI\bin\release-cli.exe"

    Directory: C:\GitLab\Release-CLI
Mode                LastWriteTime         Length Name
----                -------------         ------ ----
d-----        3/16/2021   4:17 AM                bin

1. Add the directory to your $env:PATH:

$env:PATH += ";C:\GitLab\Release-CLI\bin"

1. Verify release-cli is available:

PS C:\> release-cli -v

release-cli version 0.6.0

Use a custom SSL CA certificate authority

You can use the ADDITIONAL_CA_CERT_BUNDLE CI/CD variable to configure a custom SSL CA certificate authority, which is used to verify the peer when the release-cli creates a release through the API using HTTPS with custom certificates. The ADDITIONAL_CA_CERT_BUNDLE value should contain the text representation of the X.509 PEM public-key certificate or the path/to/file containing the certificate authority. For example, to configure this value in the .gitlab-ci.yml file, use the following:

release:
  variables:
    ADDITIONAL_CA_CERT_BUNDLE: |
        -----BEGIN CERTIFICATE-----
        MIIGqTCCBJGgAwIBAgIQI7AVxxVwg2kch4d56XNdDjANBgkqhkiG9w0BAQsFADCB
        ...
        jWgmPqF3vUbZE0EyScetPJquRFRKIesyJuBFMAs=
        -----END CERTIFICATE-----        
  script:
    - echo "Create release"
  release:
    name: 'My awesome release'
    tag_name: '$CI_COMMIT_TAG'

The ADDITIONAL_CA_CERT_BUNDLE value can also be configured as a custom variable in the UI, either as a file, which requires the path to the certificate, or as a variable, which requires the text representation of the certificate.

script

All jobs except trigger jobs must have the script keyword. A release job can use the output from script commands, but you can use a placeholder script if the script is not needed:

script:
  - echo 'release job'

An issue exists to remove this requirement in an upcoming version of GitLab.

A pipeline can have multiple release jobs, for example:

ios-release:
  script:
    - echo 'iOS release job'
  release:
    tag_name: v1.0.0-ios
    description: 'iOS release v1.0.0'

android-release:
  script:
    - echo 'Android release job'
  release:
    tag_name: v1.0.0-android
    description: 'Android release v1.0.0'

release:tag_name

You must specify a tag_name for the release. The tag can refer to an existing Git tag or you can specify a new tag.

When the specified tag doesn't exist in the repository, a new tag is created from the associated SHA of the pipeline.

For example, when creating a release from a Git tag:

job:
  release:
    tag_name: $CI_COMMIT_TAG
    description: 'Release description'

It is also possible for the release job to automatically create a new unique tag. In that case, do not use rules or only to configure the job to only run for tags.

A semantic versioning example:

job:
  release:
    tag_name: ${MAJOR}_${MINOR}_${REVISION}
    description: 'Release description'

• The release is created only if the job's main script succeeds.
• If the release already exists, it is not updated and the job with the release keyword fails.
• The release section executes after the script tag and before the after_script.

release:name

The release name. If omitted, it is populated with the value of release: tag_name.

release:description

Specifies the long description of the release. You can also specify a file that contains the description.

Read description from a file

Introduced in GitLab 13.7.

You can specify a file in $CI_PROJECT_DIR that contains the description. The file must be relative to the project directory ($CI_PROJECT_DIR), and if the file is a symbolic link it can't reside outside of $CI_PROJECT_DIR. The ./path/to/file and filename can't contain spaces.

job:
  release:
    tag_name: ${MAJOR}_${MINOR}_${REVISION}
    description: './path/to/CHANGELOG.md'

release:ref

If the release: tag_name doesn't exist yet, the release is created from ref. ref can be a commit SHA, another tag name, or a branch name.

release:milestones

The title of each milestone the release is associated with.

release:released_at

The date and time when the release is ready. Defaults to the current date and time if not defined. Should be enclosed in quotes and expressed in ISO 8601 format.

released_at: '2021-03-15T08:00:00Z'

release:assets:links

Introduced in GitLab 13.12.

Include asset links in the release.

NOTE: Requires release-cli version v0.4.0 or higher.

assets:
  links:
    - name: 'asset1'
      url: 'https://example.com/assets/1'
    - name: 'asset2'
      url: 'https://example.com/assets/2'
      filepath: '/pretty/url/1' # optional
      link_type: 'other' # optional

Complete example for release

If you combine the previous examples for release, you get two options, depending on how you generate the tags. You can't use these options together, so choose one:

• To create a release when you push a Git tag, or when you add a Git tag in the UI by going to Repository > Tags:

  release_job:
    stage: release
    image: registry.gitlab.com/gitlab-org/release-cli:latest
    rules:
      - if: $CI_COMMIT_TAG                  # Run this job when a tag is created manually
    script:
      - echo 'running release_job'
    release:
      name: 'Release $CI_COMMIT_TAG'
      description: 'Created using the release-cli $EXTRA_DESCRIPTION'  # $EXTRA_DESCRIPTION must be defined
      tag_name: '$CI_COMMIT_TAG'                                       # elsewhere in the pipeline.
      ref: '$CI_COMMIT_TAG'
      milestones:
        - 'm1'
        - 'm2'
        - 'm3'
      released_at: '2020-07-15T08:00:00Z'  # Optional, is auto generated if not defined, or can use a variable.
      assets: # Optional, multiple asset links
        links:
          - name: 'asset1'
            url: 'https://example.com/assets/1'
          - name: 'asset2'
            url: 'https://example.com/assets/2'
            filepath: '/pretty/url/1' # optional
            link_type: 'other' # optional
  

• To create a release automatically when commits are pushed or merged to the default branch, using a new Git tag that is defined with variables:

  NOTE: Environment variables set in before_script or script are not available for expanding in the same job. Read more about potentially making variables available for expanding.

  prepare_job:
    stage: prepare                                              # This stage must run before the release stage
    rules:
      - if: $CI_COMMIT_TAG
        when: never                                             # Do not run this job when a tag is created manually
      - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH             # Run this job when commits are pushed or merged to the default branch
    script:
      - echo "EXTRA_DESCRIPTION=some message" >> variables.env  # Generate the EXTRA_DESCRIPTION and TAG environment variables
      - echo "TAG=v$(cat VERSION)" >> variables.env             # and append to the variables.env file
    artifacts:
      reports:
        dotenv: variables.env                                   # Use artifacts:reports:dotenv to expose the variables to other jobs
  
  release_job:
    stage: release
    image: registry.gitlab.com/gitlab-org/release-cli:latest
    needs:
      - job: prepare_job
        artifacts: true
    rules:
      - if: $CI_COMMIT_TAG
        when: never                                  # Do not run this job when a tag is created manually
      - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH  # Run this job when commits are pushed or merged to the default branch
    script:
      - echo 'running release_job for $TAG'
    release:
      name: 'Release $TAG'
      description: 'Created using the release-cli $EXTRA_DESCRIPTION'  # $EXTRA_DESCRIPTION and the $TAG
      tag_name: '$TAG'                                                 # variables must be defined elsewhere
      ref: '$CI_COMMIT_SHA'                                            # in the pipeline. For example, in the
      milestones:                                                      # prepare_job
        - 'm1'
        - 'm2'
        - 'm3'
      released_at: '2020-07-15T08:00:00Z'  # Optional, is auto generated if not defined, or can use a variable.
      assets:
        links:
          - name: 'asset1'
            url: 'https://example.com/assets/1'
          - name: 'asset2'
            url: 'https://example.com/assets/2'
            filepath: '/pretty/url/1' # optional
            link_type: 'other' # optional
  

Release assets as Generic packages

You can use Generic packages to host your release assets. For a complete example, see the Release assets as Generic packages project.

release-cli command line

The entries under the release node are transformed into a bash command line and sent to the Docker container, which contains the release-cli. You can also call the release-cli directly from a script entry.

For example, if you use the YAML described previously:

release-cli create --name "Release $CI_COMMIT_SHA" --description "Created using the release-cli $EXTRA_DESCRIPTION" --tag-name "v${MAJOR}.${MINOR}.${REVISION}" --ref "$CI_COMMIT_SHA" --released-at "2020-07-15T08:00:00Z" --milestone "m1" --milestone "m2" --milestone "m3" --assets-link "{\"name\":\"asset1\",\"url\":\"https://example.com/assets/1\",\"link_type\":\"other\"}

secrets

Introduced in GitLab 13.4.

Use secrets to specify the CI/CD Secrets the job needs. It should be a hash, and the keys should be the names of the variables that are made available to the job. The value of each secret is saved in a temporary file. This file's path is stored in these variables.

secrets:vault (PREMIUM)

Introduced in GitLab 13.4.

Use vault to specify secrets provided by Hashicorp's Vault.

This syntax has multiple forms. The shortest form assumes the use of the KV-V2 secrets engine, mounted at the default path kv-v2. The last part of the secret's path is the field to fetch the value for:

job:
  secrets:
    DATABASE_PASSWORD:
      vault: production/db/password  # translates to secret `kv-v2/data/production/db`, field `password`

You can specify a custom secrets engine path by adding a suffix starting with @:

job:
  secrets:
    DATABASE_PASSWORD:
      vault: production/db/password@ops  # translates to secret `ops/data/production/db`, field `password`

In the detailed form of the syntax, you can specify all details explicitly:

job:
  secrets:
    DATABASE_PASSWORD:      # translates to secret `ops/data/production/db`, field `password`
      vault:
        engine:
          name: kv-v2
          path: ops
        path: production/db
        field: password

pages

Use pages to upload static content to GitLab. The content is then published as a website. You must:

• Place any static content in a public/ directory.
• Define artifacts with a path to the public/ directory.

The following example moves all files from the root of the project to the public/ directory. The .public workaround is so cp does not also copy public/ to itself in an infinite loop:

pages:
  stage: deploy
  script:
    - mkdir .public
    - cp -r * .public
    - mv .public public
  artifacts:
    paths:
      - public
  rules:
    - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH

View the GitLab Pages user documentation.

inherit

Introduced in GitLab 12.9.

Use inherit: to control inheritance of globally-defined defaults and variables.

To enable or disable the inheritance of all default: or variables: keywords, use:

• default: true or default: false
• variables: true or variables: false

To inherit only a subset of default: keywords or variables:, specify what you wish to inherit. Anything not listed is not inherited. Use one of the following formats:

inherit:
  default: [keyword1, keyword2]
  variables: [VARIABLE1, VARIABLE2]

Or:

inherit:
  default:
    - keyword1
    - keyword2
  variables:
    - VARIABLE1
    - VARIABLE2

In the following example:

• rubocop:
  • inherits: Nothing.
• rspec:
  • inherits: the default image and the WEBHOOK_URL variable.
  • does not inherit: the default before_script and the DOMAIN variable.
• capybara:
  • inherits: the default before_script and image.
  • does not inherit: the DOMAIN and WEBHOOK_URL variables.
• karma:
  • inherits: the default image and before_script, and the DOMAIN variable.
  • does not inherit: WEBHOOK_URL variable.

default:
  image: 'ruby:2.4'
  before_script:
    - echo Hello World

variables:
  DOMAIN: example.com
  WEBHOOK_URL: https://my-webhook.example.com

rubocop:
  inherit:
    default: false
    variables: false
  script: bundle exec rubocop

rspec:
  inherit:
    default: [image]
    variables: [WEBHOOK_URL]
  script: bundle exec rspec

capybara:
  inherit:
    variables: false
  script: bundle exec capybara

karma:
  inherit:
    default: true
    variables: [DOMAIN]
  script: karma

variables

Introduced in GitLab Runner v0.5.0.

CI/CD variables are configurable values that are passed to jobs. They can be set globally and per-job.

There are two types of variables.

• Custom variables: You can define their values in the .gitlab-ci.yml file, in the GitLab UI, or by using the API. You can also input variables in the GitLab UI when running a pipeline manually.
• Predefined variables: These values are set by the runner itself. One example is CI_COMMIT_REF_NAME, which is the branch or tag the project is built for.

After you define a variable, you can use it in all executed commands and scripts.

Variables are meant for non-sensitive project configuration, for example:

variables:
  DEPLOY_SITE: "https://example.com/"

deploy_job:
  stage: deploy
  script:
    - deploy-script --url $DEPLOY_SITE --path "/"

deploy_review_job:
  stage: deploy
  variables:
    REVIEW_PATH: "/review"
  script:
    - deploy-review-script --url $DEPLOY_SITE --path $REVIEW_PATH

You can use only integers and strings for the variable's name and value.

If you define a variable at the top level of the gitlab-ci.yml file, it is global, meaning it applies to all jobs. If you define a variable in a job, it's available to that job only.

If a variable of the same name is defined globally and for a specific job, the job-specific variable overrides the global variable.

All YAML-defined variables are also set to any linked Docker service containers.

You can use YAML anchors for variables.

Prefill variables in manual pipelines

Introduced in GitLab 13.7.

Use the value and description keywords to define pipeline-level (global) variables that are prefilled when running a pipeline manually:

variables:
  DEPLOY_ENVIRONMENT:
    value: "staging"  # Deploy to staging by default
    description: "The deployment target. Change this variable to 'canary' or 'production' if needed."

You cannot set job-level variables to be pre-filled when you run a pipeline manually.

Configure runner behavior with variables

You can use CI/CD variables to configure how the runner processes Git requests:

• GIT_STRATEGY
• GIT_SUBMODULE_STRATEGY
• GIT_CHECKOUT
• GIT_CLEAN_FLAGS
• GIT_FETCH_EXTRA_FLAGS
• GIT_DEPTH (shallow cloning)
• GIT_CLONE_PATH (custom build directories)
• TRANSFER_METER_FREQUENCY (artifact/cache meter update frequency)
• ARTIFACT_COMPRESSION_LEVEL (artifact archiver compression level)
• CACHE_COMPRESSION_LEVEL (cache archiver compression level)

You can also use variables to configure how many times a runner attempts certain stages of job execution.

YAML-specific features

In your .gitlab-ci.yml file, you can use YAML-specific features like anchors (&), aliases (*), and map merging (<<). Use these features to reduce the complexity of the code in the .gitlab-ci.yml file.

Read more about the various YAML features.

In most cases, the extends keyword is more user friendly and you should use it when possible.

You can use YAML anchors to merge YAML arrays.

Anchors

YAML has a feature called 'anchors' that you can use to duplicate content across your document.

Use anchors to duplicate or inherit properties. Use anchors with hidden jobs to provide templates for your jobs. When there are duplicate keys, GitLab performs a reverse deep merge based on the keys.

You can't use YAML anchors across multiple files when using the include keyword. Anchors are only valid in the file they were defined in. To reuse configuration from different YAML files, use !reference tags or the extends keyword.

The following example uses anchors and map merging. It creates two jobs, test1 and test2, that inherit the .job_template configuration, each with their own custom script defined:

.job_template: &job_configuration  # Hidden yaml configuration that defines an anchor named 'job_configuration'
  image: ruby:2.6
  services:
    - postgres
    - redis

test1:
  <<: *job_configuration           # Merge the contents of the 'job_configuration' alias
  script:
    - test1 project

test2:
  <<: *job_configuration           # Merge the contents of the 'job_configuration' alias
  script:
    - test2 project

& sets up the name of the anchor (job_configuration), << means "merge the given hash into the current one," and * includes the named anchor (job_configuration again). The expanded version of this example is:

.job_template:
  image: ruby:2.6
  services:
    - postgres
    - redis

test1:
  image: ruby:2.6
  services:
    - postgres
    - redis
  script:
    - test1 project

test2:
  image: ruby:2.6
  services:
    - postgres
    - redis
  script:
    - test2 project

You can use anchors to define two sets of services. For example, test:postgres and test:mysql share the script defined in .job_template, but use different services, defined in .postgres_services and .mysql_services:

.job_template: &job_configuration
  script:
    - test project
  tags:
    - dev

.postgres_services:
  services: &postgres_configuration
    - postgres
    - ruby

.mysql_services:
  services: &mysql_configuration
    - mysql
    - ruby

test:postgres:
  <<: *job_configuration
  services: *postgres_configuration
  tags:
    - postgres

test:mysql:
  <<: *job_configuration
  services: *mysql_configuration

The expanded version is:

.job_template:
  script:
    - test project
  tags:
    - dev

.postgres_services:
  services:
    - postgres
    - ruby

.mysql_services:
  services:
    - mysql
    - ruby

test:postgres:
  script:
    - test project
  services:
    - postgres
    - ruby
  tags:
    - postgres

test:mysql:
  script:
    - test project
  services:
    - mysql
    - ruby
  tags:
    - dev

You can see that the hidden jobs are conveniently used as templates, and tags: [postgres] overwrites tags: [dev].

YAML anchors for scripts

Introduced in GitLab 12.5.

You can use YAML anchors with script, before_script, and after_script to use predefined commands in multiple jobs:

.some-script-before: &some-script-before
  - echo "Execute this script first"

.some-script: &some-script
  - echo "Execute this script second"
  - echo "Execute this script too"

.some-script-after: &some-script-after
  - echo "Execute this script last"

job1:
  before_script:
    - *some-script-before
  script:
    - *some-script
    - echo "Execute something, for this job only"
  after_script:
    - *some-script-after

job2:
  script:
    - *some-script-before
    - *some-script
    - echo "Execute something else, for this job only"
    - *some-script-after

YAML anchors for variables

Use YAML anchors with variables to repeat assignment of variables across multiple jobs. You can also use YAML anchors when a job requires a specific variables block that would otherwise override the global variables.

The following example shows how override the GIT_STRATEGY variable without affecting the use of the SAMPLE_VARIABLE variable:

# global variables
variables: &global-variables
  SAMPLE_VARIABLE: sample_variable_value
  ANOTHER_SAMPLE_VARIABLE: another_sample_variable_value

# a job that must set the GIT_STRATEGY variable, yet depend on global variables
job_no_git_strategy:
  stage: cleanup
  variables:
    <<: *global-variables
    GIT_STRATEGY: none
  script: echo $SAMPLE_VARIABLE

Hide jobs

If you want to temporarily disable a job, rather than commenting out all the lines where the job is defined:

# hidden_job:
#   script:
#     - run test

Instead, you can start its name with a dot (.) and it is not processed by GitLab CI/CD. In the following example, .hidden_job is ignored:

.hidden_job:
  script:
    - run test

Use this feature to ignore jobs, or use the YAML-specific features and transform the hidden jobs into templates.

!reference tags

• Introduced in GitLab 13.9.

Use the !reference custom YAML tag to select keyword configuration from other job sections and reuse it in the current section. Unlike YAML anchors, you can use !reference tags to reuse configuration from included configuration files as well.

In the following example, a script and an after_script from two different locations are reused in the test job:

• setup.yml:

  .setup:
    script:
      - echo creating environment
  

• .gitlab-ci.yml:

  include:
    - local: setup.yml
  
  .teardown:
    after_script:
      - echo deleting environment
  
  test:
    script:
      - !reference [.setup, script]
      - echo running my own command
    after_script:
      - !reference [.teardown, after_script]
  

In the following example, test-vars-1 reuses all the variables in .vars, while test-vars-2 selects a specific variable and reuses it as a new MY_VAR variable.

.vars:
  variables:
    URL: "http://my-url.internal"
    IMPORTANT_VAR: "the details"

test-vars-1:
  variables: !reference [.vars, variables]
  script:
    - printenv

test-vars-2:
  variables:
    MY_VAR: !reference [.vars, variables, IMPORTANT_VAR]
  script:
    - printenv

You can't reuse a section that already includes a !reference tag. Only one level of nesting is supported.

Skip Pipeline

To push a commit without triggering a pipeline, add [ci skip] or [skip ci], using any capitalization, to your commit message.

Alternatively, if you are using Git 2.10 or later, use the ci.skip Git push option. The ci.skip push option does not skip merge request pipelines.

Processing Git pushes

GitLab creates at most four branch and tag pipelines when pushing multiple changes in a single git push invocation.

This limitation does not affect any of the updated merge request pipelines. All updated merge requests have a pipeline created when using pipelines for merge requests.

Deprecated keywords

The following keywords are deprecated.

Globally-defined types

WARNING: types is deprecated, and could be removed in a future release. Use stages instead.

Job-defined type

WARNING: type is deprecated, and could be removed in one of the future releases. Use stage instead.

Globally-defined image, services, cache, before_script, after_script

Defining image, services, cache, before_script, and after_script globally is deprecated. Support could be removed from a future release.

Use default: instead. For example:

default:
  image: ruby:3.0
  services:
    - docker:dind
  cache:
    paths: [vendor/]
  before_script:
    - bundle config set path vendor/bundle
    - bundle install
  after_script:
    - rm -rf tmp/