mount = type =cache,target =/cache/gobuild,sharing =locked \ RUN -mount = type =cache,target =/cache/gomod \ RUN -mount = type =cache,target =/cache/gomod \ĬOPY main.go. We can use this for package manager and compiler caches to speed up subsequent builds without bloating the final image.įor example, imagine we have a Java project:įROM golang ENV GOMODCACHE=/cache/gomod ENV GOCACHE=/cache/gobuild COPY go.mod go.sum. Of interest for performance is the cache mount type.įiles in a cache mount persist between builds but are NOT included in the resulting images. These are very powerful for example, the ssh mount type allows sharing SSH keys in the build to access private resources. You might be familiar with Docker volume mounts when running containers.įor example, these are commonly used to share a local directory with commands like docker run -v $(pwd)/awesome:/app/awesome my-image.ĭocker also supports build mounts via the underlying BuildKit engine. Leverage cache Mounts to Avoid Re-downloading Artifacts You can then browse /tmp/docker-context via CLI or file manager to ensure that irrelevant files are not present.įor more information on. ' | DOCKER_BUILDKIT =1 docker build -f -o /tmp/docker-context. If you want to inspect your build context, you can use Docker to export a copy to /tmp/docker-context:
Docker on mac very slow windows#
(As a bonus, this helps avoid platform & architecture mismatch issues that can result from transferring binaries meant for your host platform, like Windows or macOS, into a Linux container image!) Explore Your Context Lastly, if you rely on installing npm/yarn dependencies from scratch in your Dockerfile for reproducibility, exclude node_modules/. Similarly, some tools create Python virtual environments in the corresponding project directory. Large test/sample data files that aren’t ever used by the build or resulting image can be another common culprit. (If your builds embed Git metadata such as a commit reference, consider using build arguments to pass them in - most CI systems provide this metadata as environment variables and you can set defaults as placeholders for local builds.)
git/ directory, which can generally be excluded. Perhaps the most common case of this is your repository’s. This can be particularly slow on Docker for Mac/Windows or if using a remote Docker context. your project directory) for the daemon to use.Įven if you don’t reference files as part of your build via COPY, you still pay the cost of archiving and transferring them to the Docker daemon!
Docker on mac very slow archive#
Bloated Docker Context SizeĪt the start of the build, Docker creates a tar archive from the build context (e.g. If not, you might consider excluding test source files (e.g. One thing to consider is whether you run tests as part of your image build or from a container using the built image. There can be more insidious instances of this such as generated files that change with every build or locally compiled build artifacts (e.g. This means the next image build will have to re-run that step and all subsequent ones.
Docker on mac very slow code#
app, whenever README.md changes, the layer will be invalidated even though no source code changed! Unnecessary layer cache invalidation can happen when unused files are added to an image.įor example, if your Dockerfile has COPY. dockerignore file can result in performance woes: unnecessary layer cache invalidation and increased Docker context size. (Additionally, while they look very similar, the file glob pattern syntax differs between them.)
gitignore, which excludes files from being committed to your repo.Ī common misconception is that. tmp extension at the root build context directory and any of its subdirectories, recursively.
dockerignore file, which excludes files from the image build context based on file patterns.įor example, the pattern **/*.tmp will ignore any files with the. Now’s a good time to grab a coffee: we’re going to dive in head-first! ☕️ Create & Tune Your. Then we’ll look at cache mounts that let you re-use files between builds even after layers have been invalidated. This blog post isn’t comprehensive but instead focuses on a couple of oft-neglected and lesser-known techniques.įirst, we’ll cover some common pitfalls that. (Some of them are even written by folks other than ourselves!) There are lots of guides out there about speeding up your Docker image builds.
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