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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 |
Pipeline architecture (FREE)
Pipelines are the fundamental building blocks for CI/CD in GitLab. This page documents some of the important concepts related to them.
There are three main ways to structure your pipelines, each with their own advantages. These methods can be mixed and matched if needed:
- Basic: Good for straightforward projects where all the configuration is in one easy to find place.
- Directed Acyclic Graph: Good for large, complex projects that need efficient execution.
- Child/Parent Pipelines: Good for monorepos and projects with lots of independently defined components.
For more details about any of the keywords used below, check out our CI YAML reference for details.
Basic Pipelines
This is the simplest pipeline in GitLab. It runs everything in the build stage concurrently, and once all of those finish, it runs everything in the test stage the same way, and so on. It's not the most efficient, and if you have lots of steps it can grow quite complex, but it's easier to maintain:
graph LR
subgraph deploy stage
deploy --> deploy_a
deploy --> deploy_b
end
subgraph test stage
test --> test_a
test --> test_b
end
subgraph build stage
build --> build_a
build --> build_b
end
build_a -.-> test
build_b -.-> test
test_a -.-> deploy
test_b -.-> deploy
Example basic /.gitlab-ci.yml
pipeline configuration matching the diagram:
stages:
- build
- test
- deploy
image: alpine
build_a:
stage: build
script:
- echo "This job builds something."
build_b:
stage: build
script:
- echo "This job builds something else."
test_a:
stage: test
script:
- echo "This job tests something. It will only run when all jobs in the"
- echo "build stage are complete."
test_b:
stage: test
script:
- echo "This job tests something else. It will only run when all jobs in the"
- echo "build stage are complete too. It will start at about the same time as test_a."
deploy_a:
stage: deploy
script:
- echo "This job deploys something. It will only run when all jobs in the"
- echo "test stage complete."
deploy_b:
stage: deploy
script:
- echo "This job deploys something else. It will only run when all jobs in the"
- echo "test stage complete. It will start at about the same time as deploy_a."
Directed Acyclic Graph Pipelines
If efficiency is important to you and you want everything to run as quickly as possible,
you can use Directed Acyclic Graphs (DAG). Use the
needs
keyword to define dependency relationships between
your jobs. When GitLab knows the relationships between your jobs, it can run everything
as fast as possible, and even skips into subsequent stages when possible.
In the example below, if build_a
and test_a
are much faster than build_b
and
test_b
, GitLab starts deploy_a
even if build_b
is still running.
graph LR
subgraph Pipeline using DAG
build_a --> test_a --> deploy_a
build_b --> test_b --> deploy_b
end
Example DAG /.gitlab-ci.yml
configuration matching the diagram:
stages:
- build
- test
- deploy
image: alpine
build_a:
stage: build
script:
- echo "This job builds something quickly."
build_b:
stage: build
script:
- echo "This job builds something else slowly."
test_a:
stage: test
needs: [build_a]
script:
- echo "This test job will start as soon as build_a finishes."
- echo "It will not wait for build_b, or other jobs in the build stage, to finish."
test_b:
stage: test
needs: [build_b]
script:
- echo "This test job will start as soon as build_b finishes."
- echo "It will not wait for other jobs in the build stage to finish."
deploy_a:
stage: deploy
needs: [test_a]
script:
- echo "Since build_a and test_a run quickly, this deploy job can run much earlier."
- echo "It does not need to wait for build_b or test_b."
deploy_b:
stage: deploy
needs: [test_b]
script:
- echo "Since build_b and test_b run slowly, this deploy job will run much later."
Child / Parent Pipelines
In the examples above, it's clear we've got two types of things that could be built independently.
This is an ideal case for using Child / Parent Pipelines) via
the trigger
keyword. It separates out the configuration
into multiple files, keeping things very simple. You can also combine this with:
- The
rules
keyword: For example, have the child pipelines triggered only when there are changes to that area. - The
include
keyword: Bring in common behaviors, ensuring you are not repeating yourself. - DAG pipelines inside of child pipelines, achieving the benefits of both.
graph LR
subgraph Parent pipeline
trigger_a -.-> build_a
trigger_b -.-> build_b
subgraph child pipeline B
build_b --> test_b --> deploy_b
end
subgraph child pipeline A
build_a --> test_a --> deploy_a
end
end
Example /.gitlab-ci.yml
configuration for the parent pipeline matching the diagram:
stages:
- triggers
trigger_a:
stage: triggers
trigger:
include: a/.gitlab-ci.yml
rules:
- changes:
- a/*
trigger_b:
stage: triggers
trigger:
include: b/.gitlab-ci.yml
rules:
- changes:
- b/*
Example child a
pipeline configuration, located in /a/.gitlab-ci.yml
, making
use of the DAG needs
keyword:
stages:
- build
- test
- deploy
image: alpine
build_a:
stage: build
script:
- echo "This job builds something."
test_a:
stage: test
needs: [build_a]
script:
- echo "This job tests something."
deploy_a:
stage: deploy
needs: [test_a]
script:
- echo "This job deploys something."
Example child b
pipeline configuration, located in /b/.gitlab-ci.yml
, making
use of the DAG needs
keyword:
stages:
- build
- test
- deploy
image: alpine
build_b:
stage: build
script:
- echo "This job builds something else."
test_b:
stage: test
needs: [build_b]
script:
- echo "This job tests something else."
deploy_b:
stage: deploy
needs: [test_b]
script:
- echo "This job deploys something else."
It's also possible to set jobs to run before or after triggering child pipelines, for example if you have common setup steps or a unified deployment at the end.