Good caching practices To ensure maximum availability of the cache, do one or more of the following: Tag your runners and use the tag on jobs that share the cache. We would like to have an OR condition for using needs or to have the possibility to set an at least one flag for the array of needs. But when I pushed the codes, it always complains: Update: Finally I made it. From GitLab 11.9.7 to GitLab 14.9, GitLab provided a feature flag to let you Ensure that the policy for jobs pulling/pushing from the cache is correctly setup and extra work is not being performed such as re-uploading the cache. Other times you want to block further stages, such as deploy, if prior phases fail. See reference. to add jobs to a pipeline: You can use the $ character for both variables and paths. pattern case-insensitive. Please find below a simplified example that is currently not working, but would be solved if I could use a per stage DAG instead of a per pipeline DAG: and the testing variables .gitlab-ci/test.env are defined as : This enables me to have a pipeline that fails on its own on main or tags because I want it to be only triggered by other pipelines. that begin with issue-, but you can use /issue-.*/. in ".success_notification" and ".failure_notification". Hi @VonC, Just a question not related to this thread. The needs keyword creates a dependency between two jobs regardless of their stage. requiring a single keyword to enable the feature for any job. Enabled by default in GitLab 14.0. In the first part of this series, I discussed the best practices for developing changes to CI templates. Use the i flag modifier to make a Choose when to run jobs | GitLab The job does not run for any of the files. in the variable definition, but can become invalid when expanded in script:, changes:, "Signpost" puzzle from Tatham's collection. $ is interpreted as being part of a path. post on the GitLab forum. CI stages vs dependencies I am having trouble with stages vs dependencies in gitlab-ci.yml files. In the sections that follow, we will be reviewing three popular CI/CD tools: GitLab, Jenkins, and CircleCI, based on their features, strength, and usage. This is where Directed Acyclic Graphs (DAG) come in: to break the stage order for specific jobs, you can define job dependencies which will skip the regular stage order.
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