on GitHub Actions using the cache action). You might be able to convince your CI system to cache /var/lib/docker/buildkit/cache.db (e.g. The cached files are stored inside Docker.Īs such, if you are doing your builds in some sort of cloud CI service that starts with a new environment every time, the cache won’t survive. You can learn more about this and other BuildKit features in the docker/dockerfile docs. Notice all the “Using cached “-we didn’t have to download Flask, it was found in the local cache! #9 RUN -mount = type =cache,target =/root/.cache pip install -r requirements.txt $ docker build -t example -progress =plain. I’m going to be caching the /root/.cache directory, since that is also where Pipenv and Poetry will store their files pip uses ~/.cache/pip by default. To use, it we just need to add an extra option to the RUN. It should be presumed to get deleted at any point, and in that sense it is quite similar to the directory caching provided by online CI systems.
To solve this category of problem, BuildKit adds a new kind of caching: you can cache a directory across builds. That doesn’t work in Docker builds because each build is its own self-contained little filesystem, starting at best from a previously cached layer.Īnd since the unit of caching is the RUN command, either you have all the packages downloaded, or none. When you’re running pip install (or Pipenv or Poetry) normally on your computer, it caches downloads in your home directory, so that later installs don’t require redownloading the same package. If you’re changing requirements.txt, you’re going to waste a lot of time waiting for the same packages to download over and over again. Sending build context to Docker daemon 3.584kB
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