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When a runner picks a pipeline job, GitLab provides that job’s metadata. You can also configure specific aspects of your pipelines through the GitLab UI. Stages are defined by using the stages keyword.įor a list of configuration options in the CI pipeline file, see the GitLab CI/CD Pipeline Configuration Reference.Jobs are the basic configuration component.Pipelines and their component jobs and stages are defined in the CI/CD pipeline configuration file for each project. Multi-project pipelines combine pipelines for different projects together.This pipeline architecture is commonly used for mono-repos.
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Run in the same project and with the same SHA. Into one parent pipeline that can trigger multiple child sub-pipelines, which all Parent-child pipelines break down complex pipelines.Use merged results pipelines to queue merges one after the other. Requests only (rather than for every commit).Īre merge request pipelines that act as though the changes from the source branch haveĪlready been merged into the target branch. Directed Acyclic Graph Pipeline (DAG) pipelines are based on relationshipsīetween jobs and can run more quickly than basic pipelines.Basic pipelines run everything in each stage concurrently,.Pipelines can be configured in many different ways: Settings > Repository > Mirroring repositories > Trigger pipelines for mirror updates. You may need to enable pipeline triggering in your project’s If you have a mirrored repository that GitLab pulls from, A production stage, with a job called deploy-to-prod.A staging stage, with a job called deploy-to-stage.A test stage, with two jobs called test1 and test2.A build stage, with a job called compile.However, there areĪlso times when you can manually interact with a pipeline.Ī typical pipeline might consist of four stages, executed in the following order: In general, pipelines are executed automatically and require no intervention once created. If any job in a stage fails, the next stage is not (usually) executed and the pipeline ends early. If all jobs in a stage succeed, the pipeline moves on to the next stage. Multiple jobs in the same stage are executed in parallel, For example, stages that run tests after stages that compile the code. Stages, which define when to run the jobs.For example, jobs that compile or test code. Pipelines are the top-level component of continuous integration, delivery, and deployment.
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