The specification of stages allows for having flexible multi stage pipelines. The cache:key variable can use any of the , and the default key, if not set, is just literal default which means everything is shared between each pipelines and jobs by default, starting from GitLab 9. The artifacts:name variable can make use of any of the. MachineName Name of the machine. It seems it is not possible to cache container local files with shared runners. Configuration of your builds with.
We can run our tests in a different version of Node. Without a target branch, it is not possible to know what the common ancestor is, thus we always create a job in that case. The reason why it works this way is because the cache created for one Runner often will not be valid when used by a different one which can run on a different architecture e. I chose to use node v6 because it is the current , but you are free to use any version of node. The default name is artifacts, which becomes artifacts. In other words, in order to trigger a manual action assigned to a branch that the pipeline is running for, user needs to have ability to merge to this branch.
It works basically the same way as its global-level equivalent but allows you to define job-specific build variables. Next, this job is limited to only run when a new tag is pushed or it is manually triggered in the GitLab web interface. Note: If you use a depth of 1 and have a queue of builds or retry builds, jobs may fail. Advanced configuration GitLab Runner configuration uses the format. By default the caching is enabled per-job and per-branch. Of course a command can execute code directly. A complete list of the official Node.
If the expiry time is not defined, it defaults to the 30 days by default, forever on GitLab. Caching Ruby dependencies Assuming your project is using to install the gem dependencies, the following example defines cache globally so that all jobs inherit it. Cache all files in binaries that end in. The artifacts:name variable can make use of any of the. The status of the previous job is not considered when using dependencies, so if it failed or it is a manual job that was not run, no error occurs. It can be particularly useful when your are developing software that depends on other libraries which are fetched via the internet during build time. Alternatively, one can pass the ci.
The expanded version looks like this:. Old pip versions may ignore the cache. An example project service that defines deployment variables is. By default, gitlab-ci-multi-runner creates a dedicated data volume container as a cache storage for each concurrent build. So if you build your application by downloading all the required modules, you might want to declare them as artifacts so that each subsequent stage can depend on them being there. Each service will be run in separate container and linked to the build.
Clearing the cache GitLab Runners use to speed up the execution of your jobs by reusing existing data. This can be an array or a multi-line string. The killer sell point was that it enabled a whole lot of new options that we did not even consider before further simplifying the overall pipeline. To start with a fresh copy of the cache, there are two ways to do that. You can take a look at our which is actually based on the shell-executor of GitLab's runner. This means this keyword can also be used for inserting delays between different stages. Additionally, if you have a job that unconditionally recreates the cache without reference to its previous contents, you can use policy: push in that job to skip the download step.
You can use this feature to ignore jobs, or use the and transform the hidden keys into templates. For that, you can take advantage of the. Using changes with new branches and tags If you are pushing a new branch or a new tag to GitLab, the policy always evaluates to true and GitLab will create a job. So cache is not usable for interchanging deployment artifacts. This feature should be used in conjunction with and allows you to define the artifacts to pass between different jobs. Please visit for list of available applications. My gitlab version is 8.
An error will be shown if you define jobs from the current stage or next ones. During the registration of a Runner, you can specify the Runner's tags, for example ruby, postgres, development. Available on GitLab Runner v1. If your project is public or internal, you can set the pipelines private from your project's Pipelines settings. It is placed in the root of your repository and contains definitions of how your project should be built.
After a push, a new key is generated and the old cache is not valid anymore. The expanded version looks like this:. When the test:osx is executed, the artifacts from build:osx will be downloaded and extracted in the context of the build. Assuming you have properly according to your workflow, the availability of the cache ultimately depends on how the Runner has been configured the executor type and whether different Runners are used for passing the cache between jobs. Altough there are plans to add that that are mentioned in the link below.