Haskell预计阅读时间: 4 分钟
Haskell is an advanced purely-functional programming language.
GitHub repo: https://github.com/freebroccolo/docker-haskell
Supported tags and respective
For detailed information about the published artifacts of each of the above supported tags (image metadata, transfer size, etc), please see the
repos/haskell directory in the
docker-library/repo-info GitHub repo.
For more information about this image and its history, please see the relevant manifest file (
library/haskell). This image is updated via pull requests to the
docker-library/official-images GitHub repo.
What is Haskell?
Haskell is a lazy, functional, statically-typed programming language with advanced type system features such as higher-rank, higher-kinded parametric polymorphism, monadic effects, generalized algebraic data types (GADTs), flexible type classes, associated type families, and more.
ghc is a portable, optimizing compiler with a foreign-function interface (FFI), an LLVM backend, and sophisticated runtime support for concurrency, explicit/implicit parallelism, runtime profiling, etc. Other Haskell tools like
haddock provide advanced benchmarking, property-based testing, code coverage, and documentation generation.
A large number of production-quality Haskell libraries are available from Hackage in the form of Cabal packages. The traditional
cabal tool, or the more recent
stack tool (available in
7.10.3+) can be used to streamline working with Cabal packages. The key differences are summarized here. New users are encouraged to start with
About this image
This image ships a minimal Haskell toolchain with the following packages from the hvr PPA:
stack tool is included.
Note: The GHC developers do not support legacy release branches (i.e.
7.8.x). While older GHC release tags are available in this DockerHub repository, only the latest stable release (or upcoming release candidates) will be shown in the “Supported tags …” section at the top of this page.
How to use this image
Start an interactive interpreter session with
$ docker run -it --rm haskell:8 GHCi, version 8.0.2: http://www.haskell.org/ghc/ :? for help Prelude>
Dockerize an application from Hackage with a
FROM haskell:8 RUN stack install pandoc pandoc-citeproc ENTRYPOINT ["pandoc"]
FROM haskell:8 RUN cabal update && cabal install pandoc pandoc-citeproc ENTRYPOINT ["pandoc"]
Iteratively develop a Haskell application with a
Dockerfile utilizing the build cache:
FROM haskell:7.10 WORKDIR /opt/server RUN cabal update # Add just the .cabal file to capture dependencies COPY ./snap-example.cabal /opt/server/snap-example.cabal # Docker will cache this command as a layer, freeing us up to # modify source code without re-installing dependencies # (unless the .cabal file changes!) RUN cabal install --only-dependencies -j4 # Add and Install Application Code COPY . /opt/server RUN cabal install CMD ["snap-example"]
See the application snippet above in more detail in the example snap application.
Supported Docker versions
This image is officially supported on Docker version 17.04.0-ce.
Support for older versions (down to 1.6) is provided on a best-effort basis.
Please see the Docker installation documentation for details on how to upgrade your Docker daemon.
If you have any problems with or questions about this image, please contact us through a GitHub issue. If the issue is related to a CVE, please check for a
cve-tracker issue on the
official-images repository first.
You can also reach many of the official image maintainers via the
#docker-library IRC channel on Freenode.
You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.
Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.
Documentation for this image is stored in the
haskell/ directory of the
docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository’s
README.md file before attempting a pull request.