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Tags and Dockerfile links

What is Java?

Java is a concurrent, class-based, object-oriented language specifically designed to have as few implementation dependencies as possible. It is intended to allow application developers to "write once, run anywhere", meaning that code that runs on one platform does not need to be recompiled to run on another.

Java is a registered trademark of Oracle and/or its affiliates.

wikipedia.org/wiki/Java_(programming_language)

How to use this image

Start a java instance running your app

For this image, the most straight-forward use is to use a java container as both the build environment as well as the runtime environment. In your Dockerfile, you can do something along the lines of the following will compile and run your project.

FROM java:7
COPY . /usr/src/myapp
WORKDIR /usr/src/myapp
RUN javac Main.java
CMD ["java", "Main"]

Then run the commands to build and run the docker image.

docker build -t my-java-app .
docker run -it --rm --name my-running-app my-java-app

Compile your app inside the docker container.

It is not always appropriate to run your app inside a container. In instances where you only want to compile inside the docker instance, you can do something along the lines of the following.

docker run --rm -v "$(pwd)":/usr/src/myapp -w /usr/src/myapp java:7 javac Main.java

This will add your current directory as a volume to the container, set the working directory to the volume, and run the command javac Main.java which will tell java to compile the code in Main.java and output the java class file to Main.class. Alternatively, if you have a make file, you can instead run the make command inside your container.

docker run --rm -v "$(pwd)":/usr/src/myapp -w /usr/src/myapp java:7 make

User Feedback

Issues

If you have any questions about the image, please contact us through a GitHub issue or in the IRC channel #docker-library on Freenode.

Contributing

If you want to contribute new features or updates, we are always thrilled to receive pull requests, and do our best to process them as fast as possible.

We recommend discussing your plans through a GitHub issue before starting to code - especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give feedback on your design, and maybe point out if someone else is working on the same thing.