Docker build arguments can also be used to optimize the build performance of your Docker images. By leveraging build arguments, you can improve caching, skip unnecessary steps, and reduce the overall build time.
Caching Dependencies with Build Arguments
One common use case for build arguments is to cache dependencies or other build artifacts that don't change frequently. By using build arguments to control the caching behavior, you can speed up the build process.
ARG CACHE_VERSION=1
RUN apt-get update && apt-get install -y --no-install-recommends \
some-dependency \
another-dependency
In the above example, the CACHE_VERSION
build argument can be used to control the caching of the apt-get
install step. Changing the value of CACHE_VERSION
will invalidate the cache and force a rebuild of that layer.
Skipping Unnecessary Build Steps
Build arguments can also be used to conditionally skip unnecessary build steps based on the build context or requirements.
ARG BUILD_ENVIRONMENT=development
RUN if [ "$BUILD_ENVIRONMENT" = "production" ]; then \
## Run production-specific build steps \
else \
## Run development-specific build steps \
fi
In the example above, the BUILD_ENVIRONMENT
build argument is used to determine which set of build steps to execute, allowing you to optimize the build process for different environments.
Leveraging Multi-stage Builds
Build arguments can be particularly powerful when used in the context of multi-stage builds. By passing different build arguments to different stages, you can optimize the build process for each stage separately.
## Build stage
FROM ubuntu:latest AS build-stage
ARG COMPILE_OPTIONS="-O2"
RUN gcc $COMPILE_OPTIONS -o my-app main.c
## Runtime stage
FROM ubuntu:latest AS runtime-stage
COPY --from=build-stage /my-app /app/my-app
In the example above, the COMPILE_OPTIONS
build argument is used to control the optimization level during the build stage, while the runtime stage simply copies the compiled binary from the build stage.
By leveraging build arguments in this way, you can achieve significant performance improvements and better control over the overall build process.