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# Configuration of your builds with .gitlab-ci.yml
This document describes the usage of `.gitlab-ci.yml`, the file that is used by
GitLab Runner to manage your project's builds.
If you want a quick introduction to GitLab CI, follow our
[quick start guide](../quick_start/README.md).
## .gitlab-ci.yml
From version 7.12, GitLab CI uses a [YAML](https://en.wikipedia.org/wiki/YAML)
file (`.gitlab-ci.yml`) for the project configuration. It is placed in the root
of your repository and contains definitions of how your project should be built.
The YAML file defines a set of jobs with constraints stating when they should
be run. The jobs are defined as top-level elements with a name and always have
to contain at least the `script` clause:
```yaml
job1:
script: "execute-script-for-job1"
job2:
script: "execute-script-for-job2"
```
The above example is the simplest possible CI configuration with two separate
jobs, where each of the jobs executes a different command.
Of course a command can execute code directly (`./configure;make;make install`)
or run a script (`test.sh`) in the repository.
Jobs are used to create builds, which are then picked up by
[Runners](../runners/README.md) and executed within the environment of the
Runner. What is important, is that each job is run independently from each
other.
The YAML syntax allows for using more complex job specifications than in the
above example:
```yaml
image: ruby:2.1
services:
- postgres
before_script:
- bundle install
after_script:
- rm secrets
stages:
- build
- test
- deploy
job1:
stage: build
script:
- execute-script-for-job1
only:
- master
tags:
- docker
```
There are a few reserved `keywords` that **cannot** be used as job names:
| Keyword | Required | Description |
|---------------|----------|-------------|
| image | no | Use docker image, covered in [Use Docker](../docker/README.md) |
| services | no | Use docker services, covered in [Use Docker](../docker/README.md) |
| stages | no | Define build stages |
| types | no | Alias for `stages` |
| before_script | no | Define commands that run before each job's script |
| after_script | no | Define commands that run after each job's script |
| variables | no | Define build variables |
| cache | no | Define list of files that should be cached between subsequent runs |
### image and services
This allows to specify a custom Docker image and a list of services that can be
used for time of the build. The configuration of this feature is covered in
[a separate document](../docker/README.md).
### before_script
`before_script` is used to define the command that should be run before all
builds, including deploy builds. This can be an array or a multi-line string.
### after_script
> Introduced in GitLab 8.7 and requires Gitlab Runner v1.2
`after_script` is used to define the command that will be run after for all
builds. This has to be an array or a multi-line string.
### stages
`stages` is used to define build stages that can be used by jobs.
The specification of `stages` allows for having flexible multi stage pipelines.
The ordering of elements in `stages` defines the ordering of builds' execution:
1. Builds of the same stage are run in parallel.
1. Builds of the next stage are run after the jobs from the previous stage
complete successfully.
Let's consider the following example, which defines 3 stages:
```yaml
stages:
- build
- test
- deploy
```
1. First all jobs of `build` are executed in parallel.
1. If all jobs of `build` succeed, the `test` jobs are executed in parallel.
1. If all jobs of `test` succeed, the `deploy` jobs are executed in parallel.
1. If all jobs of `deploy` succeed, the commit is marked as `success`.
1. If any of the previous jobs fails, the commit is marked as `failed` and no
jobs of further stage are executed.
There are also two edge cases worth mentioning:
1. If no `stages` are defined in `.gitlab-ci.yml`, then by default the `build`,
`test` and `deploy` are allowed to be used as job's stage by default.
2. If a job doesn't specify a `stage`, the job is assigned the `test` stage.
### types
Alias for [stages](#stages).
### variables
> Introduced in GitLab Runner v0.5.0.
GitLab CI allows you to add variables to `.gitlab-ci.yml` that are set in the
build environment. The variables are stored in the Git repository and are meant
to store non-sensitive project configuration, for example:
```yaml
variables:
DATABASE_URL: "postgres://postgres@postgres/my_database"
```
These variables can be later used in all executed commands and scripts.
The YAML-defined variables are also set to all created service containers,
thus allowing to fine tune them. Variables can be also defined on a
[job level](#job-variables).
Except for the user defined variables, there are also the ones set up by the
Runner itself. One example would be `CI_BUILD_REF_NAME` which has the value of
the branch or tag name for which project is built. Apart from the variables
you can set in `.gitlab-ci.yml`, there are also the so called secret variables
which can be set in GitLab's UI.
[Learn more about variables.][variables]
### cache
> Introduced in GitLab Runner v0.7.0.
`cache` is used to specify a list of files and directories which should be
cached between builds. You can only use paths that are within the project
workspace.
**By default the caching is enabled per-job and per-branch.**
If `cache` is defined outside the scope of the jobs, it means it is set
globally and all jobs will use its definition.
Cache all files in `binaries` and `.config`:
```yaml
rspec:
script: test
cache:
paths:
- binaries/
- .config
```
Cache all Git untracked files:
```yaml
rspec:
script: test
cache:
untracked: true
```
Cache all Git untracked files and files in `binaries`:
```yaml
rspec:
script: test
cache:
untracked: true
paths:
- binaries/
```
Locally defined cache overwrites globally defined options. This will cache only
`binaries/`:
```yaml
cache:
paths:
- my/files
rspec:
script: test
cache:
paths:
- binaries/
```
The cache is provided on a best-effort basis, so don't expect that the cache
will be always present. For implementation details, please check GitLab Runner.
#### cache:key
> Introduced in GitLab Runner v1.0.0.
The `key` directive allows you to define the affinity of caching
between jobs, allowing to have a single cache for all jobs,
cache per-job, cache per-branch or any other way you deem proper.
This allows you to fine tune caching, allowing you to cache data between
different jobs or even different branches.
The `cache:key` variable can use any of the [predefined variables](../variables/README.md).
---
**Example configurations**
To enable per-job caching:
```yaml
cache:
key: "$CI_BUILD_NAME"
untracked: true
```
To enable per-branch caching:
```yaml
cache:
key: "$CI_BUILD_REF_NAME"
untracked: true
```
To enable per-job and per-branch caching:
```yaml
cache:
key: "$CI_BUILD_NAME/$CI_BUILD_REF_NAME"
untracked: true
```
To enable per-branch and per-stage caching:
```yaml
cache:
key: "$CI_BUILD_STAGE/$CI_BUILD_REF_NAME"
untracked: true
```
If you use **Windows Batch** to run your shell scripts you need to replace
`$` with `%`:
```yaml
cache:
key: "%CI_BUILD_STAGE%/%CI_BUILD_REF_NAME%"
untracked: true
```
## Jobs
`.gitlab-ci.yml` allows you to specify an unlimited number of jobs. Each job
must have a unique name, which is not one of the Keywords mentioned above.
A job is defined by a list of parameters that define the build behavior.
```yaml
job_name:
script:
- rake spec
- coverage
stage: test
only:
- master
except:
- develop
tags:
- ruby
- postgres
allow_failure: true
```
| Keyword | Required | Description |
|---------------|----------|-------------|
| script | yes | Defines a shell script which is executed by Runner |
| image | no | Use docker image, covered in [Using Docker Images](../docker/using_docker_images.md#define-image-and-services-from-gitlab-ciyml) |
| services | no | Use docker services, covered in [Using Docker Images](../docker/using_docker_images.md#define-image-and-services-from-gitlab-ciyml) |
| stage | no | Defines a build stage (default: `test`) |
| type | no | Alias for `stage` |
| variables | no | Define build variables on a job level |
| only | no | Defines a list of git refs for which build is created |
| except | no | Defines a list of git refs for which build is not created |
| tags | no | Defines a list of tags which are used to select Runner |
| allow_failure | no | Allow build to fail. Failed build doesn't contribute to commit status |
| when | no | Define when to run build. Can be `on_success`, `on_failure`, `always` or `manual` |
| dependencies | no | Define other builds that a build depends on so that you can pass artifacts between them|
| artifacts | no | Define list of build artifacts |
| cache | no | Define list of files that should be cached between subsequent runs |
| before_script | no | Override a set of commands that are executed before build |
| after_script | no | Override a set of commands that are executed after build |
| environment | no | Defines a name of environment to which deployment is done by this build |
### script
`script` is a shell script which is executed by the Runner. For example:
```yaml
job:
script: "bundle exec rspec"
```
This parameter can also contain several commands using an array:
```yaml
job:
script:
- uname -a
- bundle exec rspec
```
Sometimes, `script` commands will need to be wrapped in single or double quotes. For example, commands that contain a colon (`:`) need to be wrapped in quotes so that the YAML parser knows to interpret the whole thing as a string rather than a "key: value" pair. Be careful when using special characters (`:`, `{`, `}`, `[`, `]`, `,`, `&`, `*`, `#`, `?`, `|`, `-`, `<`, `>`, `=`, `!`, `%`, `@`, `` ` ``).
### stage
`stage` allows to group build into different stages. Builds of the same `stage`
are executed in `parallel`. For more info about the use of `stage` please check
[stages](#stages).
### only and except
`only` and `except` are two parameters that set a refs policy to limit when
jobs are built:
1. `only` defines the names of branches and tags for which the job will be
built.
2. `except` defines the names of branches and tags for which the job will
**not** be built.
There are a few rules that apply to the usage of refs policy:
* `only` and `except` are inclusive. If both `only` and `except` are defined
in a job specification, the ref is filtered by `only` and `except`.
* `only` and `except` allow the use of regular expressions.
* `only` and `except` allow the use of special keywords: `branches`, `tags`, and `triggers`.
* `only` and `except` allow to specify a repository path to filter jobs for
forks.
In the example below, `job` will run only for refs that start with `issue-`,
whereas all branches will be skipped.
```yaml
job:
# use regexp
only:
- /^issue-.*$/
# use special keyword
except:
- branches
```
In this example, `job` will run only for refs that are tagged, or if a build is explicitly requested
via an API trigger.
```yaml
job:
# use special keywords
only:
- tags
- triggers
```
The repository path can be used to have jobs executed only for the parent
repository and not forks:
```yaml
job:
only:
- branches@gitlab-org/gitlab-ce
except:
- master@gitlab-org/gitlab-ce
```
The above example will run `job` for all branches on `gitlab-org/gitlab-ce`,
except master.
### job variables
It is possible to define build variables using a `variables` keyword on a job
level. It works basically the same way as its global-level equivalent but
allows you to define job-specific build variables.
When the `variables` keyword is used on a job level, it overrides global YAML
build variables and predefined variables.
Build variables priority is defined in
[variables documentation](../variables/README.md).
### tags
`tags` is used to select specific Runners from the list of all Runners that are
allowed to run this project.
During the registration of a Runner, you can specify the Runner's tags, for
example `ruby`, `postgres`, `development`.
`tags` allow you to run builds with Runners that have the specified tags
assigned to them:
```yaml
job:
tags:
- ruby
- postgres
```
The specification above, will make sure that `job` is built by a Runner that
has both `ruby` AND `postgres` tags defined.
### allow_failure
`allow_failure` is used when you want to allow a build to fail without impacting
the rest of the CI suite. Failed builds don't contribute to the commit status.
When enabled and the build fails, the pipeline will be successful/green for all
intents and purposes, but a "CI build passed with warnings" message will be
displayed on the merge request or commit or build page. This is to be used by
builds that are allowed to fail, but where failure indicates some other (manual)
steps should be taken elsewhere.
In the example below, `job1` and `job2` will run in parallel, but if `job1`
fails, it will not stop the next stage from running, since it's marked with
`allow_failure: true`:
```yaml
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
```
### when
`when` is used to implement jobs that are run in case of failure or despite the
failure.
`when` can be set to one of the following values:
1. `on_success` - execute build only when all builds from prior stages
succeed. This is the default.
1. `on_failure` - execute build only when at least one build from prior stages
fails.
1. `always` - execute build regardless of the status of builds from prior stages.
1. `manual` - execute build manually (added in GitLab 8.10). Read about
[manual actions](#manual-actions) below.
For example:
```yaml
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 builds
when: always
```
The above script will:
1. Execute `cleanup_build_job` only when `build_job` fails.
2. Always execute `cleanup_job` as the last step in pipeline regardless of
success or failure.
3. Allow you to manually execute `deploy_job` from GitLab's UI.
#### Manual actions
> Introduced in GitLab 8.10.
Manual actions are a special type of job that are not executed automatically;
they need to be explicitly started by a user. Manual actions can be started
from pipeline, build, environment, and deployment views. You can execute the
same manual action multiple times.
An example usage of manual actions is deployment to production.
Read more at the [environments documentation][env-manual].
### environment
> Introduced in GitLab 8.9.
> You can read more about environments and find more examples in the
[documentation about environments][environment].
`environment` is used to define that a job deploys to a specific environment.
If `environment` is specified and no environment under that name exists, a new
one will be created automatically.
In its simplest form, the `environment` keyword can be defined like:
```
deploy to production:
stage: deploy
script: git push production HEAD:master
environment:
name: production
```
In the above example, the `deploy to production` job will be marked as doing a
deployment to the `production` environment.
#### environment:name
> Introduced in GitLab 8.11.
>**Note:**
Before GitLab 8.11, the name of an environment could be defined as a string like
`environment: production`. The recommended way now is to define it under the
`name` keyword.
The `environment` name can contain:
- letters
- digits
- spaces
- `-`
- `_`
- `/`
- `$`
- `{`
- `}`
Common names are `qa`, `staging`, and `production`, but you can use whatever
name works with your workflow.
Instead of defining the name of the environment right after the `environment`
keyword, it is also possible to define it as a separate value. For that, use
the `name` keyword under `environment`:
```
deploy to production:
stage: deploy
script: git push production HEAD:master
environment:
name: production
```
#### environment:url
> Introduced in GitLab 8.11.
>**Note:**
Before GitLab 8.11, the URL could be added only in GitLab's UI. The
recommended way now is to define it in `.gitlab-ci.yml`.
This is an optional value that when set, it exposes buttons in various places
in GitLab which when clicked take you to the defined URL.
In the example below, if the job finishes successfully, it will create buttons
in the merge requests and in the environments/deployments pages which will point
to `https://prod.example.com`.
```
deploy to production:
stage: deploy
script: git push production HEAD:master
environment:
name: production
url: https://prod.example.com
```
#### environment:on_stop
>
**Notes:**
- [Introduced][ce-6669] in GitLab 8.13.
- Starting with GitLab 8.14, when you have an environment that has a stop action
defined, GitLab will automatically trigger a stop action when the associated
branch is deleted.
Closing (stoping) environments can be achieved with the `on_stop` keyword defined under
`environment`. It declares a different job that runs in order to close
the environment.
Read the `environment:action` section for an example.
#### environment:action
> [Introduced][ce-6669] in GitLab 8.13.
The `action` keyword is to be used in conjunction with `on_stop` and is defined
in the job that is called to close the environment.
Take for instance:
```yaml
review_app:
stage: deploy
script: make deploy-app
environment:
name: review
on_stop: stop_review_app
stop_review_app:
stage: deploy
script: make delete-app
when: manual
environment:
name: review
action: stop
```
In the above example we set up the `review_app` job to deploy to the `review`
environment, and we also defined a new `stop_review_app` job under `on_stop`.
Once the `review_app` job is successfully finished, it will trigger the
`stop_review_app` job based on what is defined under `when`. In this case we
set it up to `manual` so it will need a [manual action](#manual-actions) via
GitLab's web interface in order to run.
The `stop_review_app` job is **required** to have the following keywords defined:
- `when` - [reference](#when)
- `environment:name`
- `environment:action`
#### dynamic environments
> [Introduced][ce-6323] in GitLab 8.12 and GitLab Runner 1.6.
`environment` can also represent a configuration hash with `name` and `url`.
These parameters can use any of the defined [CI variables](#variables)
(including predefined, secure variables and `.gitlab-ci.yml` variables).
>**Note:**
Be aware than if the branch name contains special characters and you use the
`$CI_BUILD_REF_NAME` variable to dynamically create environments, there might
be complications during deployment. Follow the
[issue 22849](https://gitlab.com/gitlab-org/gitlab-ce/issues/22849) for more
information.
For example:
```
deploy as review app:
stage: deploy
script: make deploy
environment:
name: review-apps/$CI_BUILD_REF_NAME
url: https://$CI_BUILD_REF_NAME.review.example.com/
```
The `deploy as review app` job will be marked as deployment to dynamically
create the `review-apps/$CI_BUILD_REF_NAME` environment, which `$CI_BUILD_REF_NAME`
is an [environment variable][variables] set by the Runner. If for example the
`deploy as review app` job was run in a branch named `pow`, this environment
should be accessible under `https://pow.review.example.com/`.
This of course implies that the underlying server which hosts the application
is properly configured.
The common use case is to create dynamic environments for branches and use them
as Review Apps. You can see a simple example using Review Apps at
https://gitlab.com/gitlab-examples/review-apps-nginx/.
### artifacts
>**Notes:**
>
> - Introduced in GitLab Runner v0.7.0 for non-Windows platforms.
> - Windows support was added in GitLab Runner v.1.0.0.
> - Currently not all executors are supported.
> - Build artifacts are only collected for successful builds by default.
`artifacts` is used to specify a list of files and directories which should be
attached to the build after success. You can only use paths that are within the
project workspace. To pass artifacts between different builds, see [dependencies](#dependencies).
Below are some examples.
Send all files in `binaries` and `.config`:
```yaml
artifacts:
paths:
- binaries/
- .config
```
Send all Git untracked files:
```yaml
artifacts:
untracked: true
```
Send all Git untracked files and files in `binaries`:
```yaml
artifacts:
untracked: true
paths:
- binaries/
```
To disable artifact passing, define the job with empty [dependencies](#dependencies):
```yaml
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` will not create artifacts):
```yaml
default-job:
script:
- mvn test -U
except:
- tags
release-job:
script:
- mvn package -U
artifacts:
paths:
- target/*.war
only:
- tags
```
The artifacts will be sent to GitLab after a successful build and will
be available for download in the GitLab UI.
#### artifacts:name
> Introduced in GitLab 8.6 and GitLab Runner v1.1.0.
The `name` directive allows you to define the name of the created artifacts
archive. That way, you can have a unique name for every archive which could be
useful when you'd like to download the archive from GitLab. The `artifacts:name`
variable can make use of any of the [predefined variables](../variables/README.md).
The default name is `artifacts`, which becomes `artifacts.zip` when downloaded.
---
**Example configurations**
To create an archive with a name of the current build:
```yaml
job:
artifacts:
name: "$CI_BUILD_NAME"
```
To create an archive with a name of the current branch or tag including only
the files that are untracked by Git:
```yaml
job:
artifacts:
name: "$CI_BUILD_REF_NAME"
untracked: true
```
To create an archive with a name of the current build and the current branch or
tag including only the files that are untracked by Git:
```yaml
job:
artifacts:
name: "${CI_BUILD_NAME}_${CI_BUILD_REF_NAME}"
untracked: true
```
To create an archive with a name of the current [stage](#stages) and branch name:
```yaml
job:
artifacts:
name: "${CI_BUILD_STAGE}_${CI_BUILD_REF_NAME}"
untracked: true
```
---
If you use **Windows Batch** to run your shell scripts you need to replace
`$` with `%`:
```yaml
job:
artifacts:
name: "%CI_BUILD_STAGE%_%CI_BUILD_REF_NAME%"
untracked: true
```
#### artifacts:when
> Introduced in GitLab 8.9 and GitLab Runner v1.3.0.
`artifacts:when` is used to upload artifacts on build failure or despite the
failure.
`artifacts:when` can be set to one of the following values:
1. `on_success` - upload artifacts only when the build succeeds. This is the default.
1. `on_failure` - upload artifacts only when the build fails.
1. `always` - upload artifacts regardless of the build status.
---
**Example configurations**
To upload artifacts only when build fails.
```yaml
job:
artifacts:
when: on_failure
```
#### artifacts:expire_in
> Introduced in GitLab 8.9 and GitLab Runner v1.3.0.
`artifacts:expire_in` is used to delete uploaded artifacts after the specified
time. By default, artifacts are stored on GitLab forever. `expire_in` allows you
to specify how long artifacts should live before they expire, counting from the
time they are uploaded and stored on GitLab.
You can use the **Keep** button on the build page to override expiration and
keep artifacts forever.
After expiry, artifacts are actually deleted hourly by default (via a cron job),
but they are not accessible after expiry.
The value of `expire_in` is an elapsed time. Examples of parseable values:
- '3 mins 4 sec'
- '2 hrs 20 min'
- '2h20min'
- '6 mos 1 day'
- '47 yrs 6 mos and 4d'
- '3 weeks and 2 days'
---
**Example configurations**
To expire artifacts 1 week after being uploaded:
```yaml
job:
artifacts:
expire_in: 1 week
```
### dependencies
> Introduced in GitLab 8.6 and GitLab Runner v1.1.1.
This feature should be used in conjunction with [`artifacts`](#artifacts) and
allows you to define the artifacts to pass between different builds.
Note that `artifacts` from all previous [stages](#stages) are passed by default.
To use this feature, define `dependencies` in context of the job and pass
a list of all previous builds from which the artifacts should be downloaded.
You can only define builds from stages that are executed before the current one.
An error will be shown if you define builds from the current stage or next ones.
Defining an empty array will skip downloading any artifacts for that job.
---
In the following example, we define two jobs with artifacts, `build:osx` and
`build:linux`. When the `test:osx` is executed, the artifacts from `build:osx`
will be downloaded and extracted in the context of the build. The same happens
for `test:linux` and artifacts from `build:linux`.
The job `deploy` will download artifacts from all previous builds because of
the [stage](#stages) precedence:
```yaml
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
```
### before_script and after_script
It's possible to overwrite globally defined `before_script` and `after_script`:
```yaml
before_script:
- global before script
job:
before_script:
- execute this instead of global before script
script:
- my command
after_script:
- execute this after my script
```
## Git Strategy
> Introduced in GitLab 8.9 as an experimental feature. May change or be removed
completely in future releases. `GIT_STRATEGY=none` requires GitLab Runner
v1.7+.
You can set the `GIT_STRATEGY` used for getting recent application code, either
in the global [`variables`](#variables) section or the [`variables`](#job-variables)
section for individual jobs. If left unspecified, the default from project
settings will be used.
There are three possible values: `clone`, `fetch`, and `none`.
`clone` is the slowest option. It clones the repository from scratch for every
job, ensuring that the project workspace is always pristine.
```
variables:
GIT_STRATEGY: clone
```
`fetch` is faster as it re-uses the project workspace (falling back to `clone`
if it doesn't exist). `git clean` is used to undo any changes made by the last
job, and `git fetch` is used to retrieve commits made since the last job ran.
```
variables:
GIT_STRATEGY: fetch
```
`none` also re-uses the project workspace, but skips all Git operations
(including GitLab Runner's pre-clone script, if present). It is mostly useful
for jobs that operate exclusively on artifacts (e.g., `deploy`). Git repository
data may be present, but it is certain to be out of date, so you should only
rely on files brought into the project workspace from cache or artifacts.
```
variables:
GIT_STRATEGY: none
```
## Shallow cloning
> Introduced in GitLab 8.9 as an experimental feature. May change in future
releases or be removed completely.
You can specify the depth of fetching and cloning using `GIT_DEPTH`. This allows
shallow cloning of the repository which can significantly speed up cloning for
repositories with a large number of commits or old, large binaries. The value is
passed to `git fetch` and `git clone`.
>**Note:**
If you use a depth of 1 and have a queue of builds or retry
builds, jobs may fail.
Since Git fetching and cloning is based on a ref, such as a branch name, runners
can't clone a specific commit SHA. If there are multiple builds in the queue, or
you are retrying an old build, the commit to be tested needs to be within the
git history that is cloned. Setting too small a value for `GIT_DEPTH` can make
it impossible to run these old commits. You will see `unresolved reference` in
build logs. You should then reconsider changing `GIT_DEPTH` to a higher value.
Builds that rely on `git describe` may not work correctly when `GIT_DEPTH` is
set since only part of the git history is present.
To fetch or clone only the last 3 commits:
```
variables:
GIT_DEPTH: "3"
```
## Hidden keys
> Introduced in GitLab 8.6 and GitLab Runner v1.1.1.
Keys that start with a dot (`.`) will be not processed by GitLab CI. You can
use this feature to ignore jobs, or use the
[special YAML features](#special-yaml-features) and transform the hidden keys
into templates.
In the following example, `.key_name` will be ignored:
```yaml
.key_name:
script:
- rake spec
```
Hidden keys can be hashes like normal CI jobs, but you are also allowed to use
different types of structures to leverage special YAML features.
## Special YAML features
It's possible to use special YAML features like anchors (`&`), aliases (`*`)
and map merging (`<<`), which will allow you to greatly reduce the complexity
of `.gitlab-ci.yml`.
Read more about the various [YAML features](https://learnxinyminutes.com/docs/yaml/).
### Anchors
> Introduced in GitLab 8.6 and GitLab Runner v1.1.1.
YAML also has a handy feature called 'anchors', which let you easily duplicate
content across your document. Anchors can be used to duplicate/inherit
properties, and is a perfect example to be used with [hidden keys](#hidden-keys)
to provide templates for your jobs.
The following example uses anchors and map merging. It will create two jobs,
`test1` and `test2`, that will inherit the parameters of `.job_template`, each
having their own custom `script` defined:
```yaml
.job_template: &job_definition # Hidden key that defines an anchor named 'job_definition'
image: ruby:2.1
services:
- postgres
- redis
test1:
<<: *job_definition # Merge the contents of the 'job_definition' alias
script:
- test1 project
test2:
<<: *job_definition # Merge the contents of the 'job_definition' alias
script:
- test2 project
```
`&` sets up the name of the anchor (`job_definition`), `<<` means "merge the
given hash into the current one", and `*` includes the named anchor
(`job_definition` again). The expanded version looks like this:
```yaml
.job_template:
image: ruby:2.1
services:
- postgres
- redis
test1:
image: ruby:2.1
services:
- postgres
- redis
script:
- test1 project
test2:
image: ruby:2.1
services:
- postgres
- redis
script:
- test2 project
```
Let's see another one example. This time we will use anchors to define two sets
of services. This will create two jobs, `test:postgres` and `test:mysql`, that
will share the `script` directive defined in `.job_template`, and the `services`
directive defined in `.postgres_services` and `.mysql_services` respectively:
```yaml
.job_template: &job_definition
script:
- test project
.postgres_services:
services: &postgres_definition
- postgres
- ruby
.mysql_services:
services: &mysql_definition
- mysql
- ruby
test:postgres:
<<: *job_definition
services: *postgres_definition
test:mysql:
<<: *job_definition
services: *mysql_definition
```
The expanded version looks like this:
```yaml
.job_template:
script:
- test project
.postgres_services:
services:
- postgres
- ruby
.mysql_services:
services:
- mysql
- ruby
test:postgres:
script:
- test project
services:
- postgres
- ruby
test:mysql:
script:
- test project
services:
- mysql
- ruby
```
You can see that the hidden keys are conveniently used as templates.
## Triggers
Triggers can be used to force a rebuild of a specific branch, tag or commit,
with an API call.
[Read more in the triggers documentation.](../triggers/README.md)
## Validate the .gitlab-ci.yml
Each instance of GitLab CI has an embedded debug tool called Lint.
You can find the link under `/ci/lint` of your gitlab instance.
## Skipping builds
If your commit message contains `[ci skip]` or `[skip ci]`, using any
capitalization, the commit will be created but the builds will be skipped.
## Examples
Visit the [examples README][examples] to see a list of examples using GitLab
CI with various languages.
[env-manual]: ../environments.md#manually-deploying-to-environments
[examples]: ../examples/README.md
[ce-6323]: https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/6323
[environment]: ../environments.md
[ce-6669]: https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/6669
[variables]: ../variables/README.md
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