openjdkEstimated reading time: 7 minutes
OpenJDK is an open-source implementation of the Java Platform, Standard Edition
GitHub repo: https://github.com/docker-library/openjdk
Supported tags and respective
Where to file issues:
the Docker Community
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is OpenJDK?
OpenJDK (Open Java Development Kit) is a free and open source implementation of the Java Platform, Standard Edition (Java SE). OpenJDK is the official reference implementation of Java SE since version 7.
Java is a registered trademark of Oracle and/or its affiliates.
How to use this image
Start a Java instance in your app
The most straightforward way to use this image is to use a Java container as both the build and runtime environment. In your
Dockerfile, writing something along the lines of the following will compile and run your project:
FROM openjdk:7 COPY . /usr/src/myapp WORKDIR /usr/src/myapp RUN javac Main.java CMD ["java", "Main"]
You can then run and build 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
There may be occasions where it is not appropriate to run your app inside a container. To compile, but not run your app inside the Docker instance, you can write something like:
$ docker run --rm -v "$PWD":/usr/src/myapp -w /usr/src/myapp openjdk: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
Make JVM respect CPU and RAM limits
On startup JVM tries to detect the number of available CPU cores and the amount of RAM to adjust its internal parameters (like the number of garbage collector threads to spawn) accordingly. When container is run with limited CPU/RAM, standard system API, used by JVM for probing, will return host-wide values. This can cause excessive CPU usage and memory allocation errors with older versions of JVM.
Inside Linux containers, recent versions of OpenJDK 8 can correctly detect container-limited number of CPU cores by default. To enable the detection of container-limited amount of RAM the following options can be used:
$ java -XX:+UnlockExperimentalVMOptions -XX:+UseCGroupMemoryLimitForHeap ...
Inside Windows Server (non-Hyper-V) containers, limit for number of available CPU cores does not work (is ignored by Host Compute Service). To set such limit manually, JVM can be started the following way:
$ start /b /wait /affinity 0x3 path/to/java.exe ...
In this example CPU affinity hex mask
0x3 will limit JVM to 2 CPU cores.
RAM limit is supported by Windows Server containers, but currently JVM cannot detect it. To prevent excessive memory allocations,
-XX:MaxRAM=... option must be specified with the value that is not bigger than a containers RAM limit.
openjdk images come in many flavors, each designed for a specific use case.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of. This tag is based off of
buildpack-deps is designed for the average user of docker who has many images on their system. It, by design, has a large number of extremely common Debian packages. This reduces the number of packages that images that derive from it need to install, thus reducing the overall size of all images on your system.
This image does not contain the common packages contained in the default tag and only contains the minimal packages needed to run
openjdk. Unless you are working in an environment where only the
openjdk image will be deployed and you have space constraints, we highly recommend using the default image of this repository.
This image is based on the popular Alpine Linux project, available in the
alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.
This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn’t have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.
To minimize image size, it’s uncommon for additional related tools (such as
bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the
alpine image description for examples of how to install packages if you are unfamiliar).
This image is based on Windows Server Core (
microsoft/windowsservercore). As such, it only works in places which that image does, such as Windows 10 Professional/Enterprise (Anniversary Edition) or Windows Server 2016.
For information about how to get Docker running on Windows, please see the relevant “Quick Start” guide provided by Microsoft:
View license information for the software contained in this image.library, sample, openjdk