Github actions cache how to#

This results in a series of ever-growing (mostly duplicate) caches being created until you hit the 5 GB limit, at which point old caches begin getting deleted. key: the key to use when (re)storing the cache.

To do this the action requires 2 parameters: path: the file/folder to cache.

Github actions cache how to#

This action will automatically cache a given file/folder at the end of a successful workflow, and restore the same at the start. For completeness, this is an example of how to cache the local Maven repository on subsequent builds: steps: Typical Java workflow steps - uses: actions/checkoutv1 - name: Set up JDK 11 uses: actions/setup-javav1 with: java-version: 11 Step that does that actual cache save and restore - uses: actions/cachev1 with: path: /.m2/repository. How could I cache downloaded files (or complete directories) between multiple runs of a GitHub action I’m looking for something similar to what other CI systems such as Travis CI and Circle CI offer in order to save some time when downloading The Internet via Maven. The best way I’ve found so far to manage caching of the pip cache is this suggestion, which has one create a separate GHA cache for each run the most recent cache is then restored at the start of each run and, and at the end of the run, the cache is saved with updates in a new GHA cache. If your project relies on package renv for tracking dependencies via an renv.lock file, caching and installation of R package dependencies requires a different. GitHub Actions comes with a built-in action for caching: actions/cachev2. It’s my understanding (I could be wrong) that lock files generally shouldn’t be committed to repositories, and generating a lock file as part of a build requires downloading the relevant files from PyPI before cache restoration can even take place, defeating the point of the GHA cache. GitHub Actions has support for preserving the pip cache across builds, but, due to the fact that the GHA cache is not updated on an exact key match, caching the pip cache only works optimally if one’s repository contains a lock file giving the exact versions of all build & test dependencies in use.