Multi-project pipelines
- Introduced in GitLab 7.14, as Build Triggers.
- Made available in all tiers in GitLab 12.8.
You can set up GitLab CI/CD across multiple projects, so that a pipeline in one project can trigger a pipeline in another project.
GitLab CI/CD is a powerful continuous integration tool that works not only per project, but also across projects with multi-project pipelines.
Multi-project pipelines are useful for larger products that require cross-project inter-dependencies, such as those adopting a microservices architecture.
For a demonstration of how cross-functional development teams can use cross-pipeline triggering to trigger multiple pipelines for different microservices projects, see Cross-project Pipeline Triggering and Visualization.
Additionally, it's possible to visualize the entire pipeline, including all cross-project inter-dependencies. (PREMIUM)
Use cases
Let's assume you deploy your web app from different projects in GitLab:
- One for the free version, which has its own pipeline that builds and tests your app
- One for the paid version add-ons, which also pass through builds and tests
- One for the documentation, which also builds, tests, and deploys with an SSG
With Multi-Project Pipelines you can visualize the entire pipeline, including all build and test stages for the three projects.
Multi-project pipeline visualization (PREMIUM)
When you configure GitLab CI/CD for your project, you can visualize the stages of your jobs on a pipeline graph.
In the Merge Request Widget, multi-project pipeline mini-graphs are displayed, and when hovering or tapping (on touchscreen devices) they will expand and be shown adjacent to each other.
Triggering multi-project pipelines through API
- Use of
CI_JOB_TOKEN
for multi-project pipelines was introduced in GitLab Premium 9.3.- Use of
CI_JOB_TOKEN
for multi-project pipelines was made available in all tiers in GitLab 12.4.
When you use the CI_JOB_TOKEN
to trigger pipelines, GitLab
recognizes the source of the job token, and thus internally ties these pipelines
together, allowing you to visualize their relationships on pipeline graphs.
These relationships are displayed in the pipeline graph by showing inbound and outbound connections for upstream and downstream pipeline dependencies.
.gitlab-ci.yml
Creating multi-project pipelines from
- Introduced in GitLab Premium 11.8.
- Made available in all tiers in 12.8.
Triggering a downstream pipeline using a bridge job
Before GitLab 11.8, it was necessary to implement a pipeline job that was responsible for making the API request to trigger a pipeline in a different project.
In GitLab 11.8, GitLab provides a new CI/CD configuration syntax to make this task easier, and avoid needing GitLab Runner for triggering cross-project pipelines. The following illustrates configuring a bridge job:
rspec:
stage: test
script: bundle exec rspec
staging:
variables:
ENVIRONMENT: staging
stage: deploy
trigger: my/deployment
In the example above, as soon as rspec
job succeeds in the test
stage,
the staging
bridge job is going to be started. The initial status of this
job will be pending
. GitLab will create a downstream pipeline in the
my/deployment
project and, as soon as the pipeline gets created, the
staging
job will succeed. my/deployment
is a full path to that project.
The user that created the upstream pipeline needs to have access rights to the
downstream project (my/deployment
in this case). If a downstream project can
not be found, or a user does not have access rights to create pipeline there,
the staging
job is going to be marked as failed.
CAUTION: Caution:
In the example, staging
will be marked as succeeded as soon as a downstream pipeline
gets created. If you want to display the downstream pipeline's status instead, see
Mirroring status from triggered pipeline.
NOTE: Note:
Bridge jobs do not support every configuration entry that a user can use
in the case of regular jobs. Bridge jobs will not be picked by a Runner,
so there is no point in adding support for script
, for example. If a user
tries to use unsupported configuration syntax, YAML validation will fail upon
pipeline creation.
Specifying a downstream pipeline branch
It is possible to specify a branch name that a downstream pipeline will use:
rspec:
stage: test
script: bundle exec rspec
staging:
stage: deploy
trigger:
project: my/deployment
branch: stable-11-2
Use:
- The
project
keyword to specify the full path to a downstream project. - The
branch
keyword to specify the name of a branch in the project specified byproject
. From GitLab 12.4, variable expansion is supported.
GitLab will use a commit that is currently on the HEAD of the branch when creating a downstream pipeline.
Passing variables to a downstream pipeline
Sometimes you might want to pass variables to a downstream pipeline.
You can do that using the variables
keyword, just like you would when
defining a regular job.
rspec:
stage: test
script: bundle exec rspec
staging:
variables:
ENVIRONMENT: staging
stage: deploy
trigger: my/deployment
The ENVIRONMENT
variable will be passed to every job defined in a downstream
pipeline. It will be available as an environment variable when GitLab Runner picks a job.
In the following configuration, the MY_VARIABLE
variable will be passed to the downstream pipeline
that is created when the trigger-downstream
job is queued. This is because trigger-downstream
job inherits variables declared in global variables blocks, and then we pass these variables to a downstream pipeline.
variables:
MY_VARIABLE: my-value
trigger-downstream:
variables:
ENVIRONMENT: something
trigger: my/project
You might want to pass some information about the upstream pipeline using, for example, predefined variables. In order to do that, you can use interpolation to pass any variable. For example:
downstream-job:
variables:
UPSTREAM_BRANCH: $CI_COMMIT_REF_NAME
trigger: my/project
In this scenario, the UPSTREAM_BRANCH
variable with a value related to the
upstream pipeline will be passed to the downstream-job
job, and will be available
within the context of all downstream builds.
NOTE: Tip: Upstream pipelines take precedence over downstream ones. If there are two variables with the same name defined in both upstream and downstream projects, the ones defined in the upstream project will take precedence.
Mirroring status from triggered pipeline
- Introduced in GitLab Premium 12.3.
- Moved to GitLab Core in 12.8.
You can mirror the pipeline status from the triggered pipeline to the source
bridge job by using strategy: depend
. For example:
trigger_job:
trigger:
project: my/project
strategy: depend
Mirroring status from upstream pipeline
You can mirror the pipeline status from an upstream pipeline to a bridge job by
using the needs:pipeline
keyword. The latest pipeline status from master is
replicated to the bridge job.
Example:
upstream_bridge:
stage: test
needs:
pipeline: other/project
Limitations
Because bridge jobs are a little different to regular jobs, it is not possible to use exactly the same configuration syntax here, as one would normally do when defining a regular job that will be picked by a runner.
Some features are not implemented yet. For example, support for environments.
Configuration keywords available for bridge jobs are:
-
trigger
(to define a downstream pipeline trigger) stage
allow_failure
rules
-
only
andexcept
-
when
(only withon_success
,on_failure
, andalways
values) extends
Trigger a pipeline when an upstream project is rebuilt
Introduced in GitLab Premium 12.8.
You can trigger a pipeline in your project whenever a pipeline finishes for a new tag in a different project:
- Go to the project's Settings > CI / CD page, and expand the Pipeline subscriptions section.
- Enter the path to the project you want to subscribe to.
- Click subscribe.
Any pipelines that complete successfully for new tags in the subscribed project will now trigger a pipeline on the current project's default branch. The maximum number of upstream pipeline subscriptions is 2, for both the upstream and downstream projects.