
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
Maintained by:
https://github.com/ibmruntimes/ci.docker
Where to get help:
https://www.ibm.com/developerworks/community/forums/html/forum?id=***-0000-0000-0000-000000000367
Dockerfile linkshttps://github.com/ibmruntimes/ci.docker/blob/d909a041f0e0736b779516cac5a9612101d0eff5/ibmjava/8/jre/ubuntu/Dockerfile
https://github.com/ibmruntimes/ci.docker/blob/d909a041f0e0736b779516cac5a9612101d0eff5/ibmjava/8/sfj/ubuntu/Dockerfile
https://github.com/ibmruntimes/ci.docker/blob/d909a041f0e0736b779516cac5a9612101d0eff5/ibmjava/8/sdk/ubuntu/Dockerfile
Where to file issues:
https://github.com/ibmruntimes/ci.docker/issues; for troubleshooting, see our http://www.ibm.com/developerworks/java/jdk/howdoi/ page
Supported architectures: (https://github.com/docker-library/official-images#architectures-other-than-amd64)
https://hub.docker.com/r/amd64/ibmjava/, https://hub.docker.com/r/ppc64le/ibmjava/, https://hub.docker.com/r/s390x/ibmjava/
Published image artifact details:
https://github.com/docker-library/repo-info/blob/master/repos/ibmjava (https://github.com/docker-library/repo-info/commits/master/repos/ibmjava)
(image metadata, transfer size, etc)
Image updates:
https://github.com/docker-library/official-images/issues?q=label%3Alibrary%2Fibmjava
https://github.com/docker-library/official-images/blob/master/library/ibmjava (https://github.com/docker-library/official-images/commits/master/library/ibmjava)
Source of this description:
https://github.com/docker-library/docs/tree/master/ibmjava (https://github.com/docker-library/docs/commits/master/ibmjava)
The images in this repository contain IBM® SDK, Java™ Technology Edition. For more information on the latest version and what's new, see https://developer.ibm.com/javasdk/downloads/sdk8/ and https://developer.ibm.com/javasdk/downloads/java-sdk-downloads-version-110/. See the license section for restrictions that relate to the use of this image. For more information about IBM® SDK, Java™ Technology Edition and API documentation as well as tutorials, recipes, and Java usage in IBM Cloud, see https://developer.ibm.com/javasdk/.
Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle and/or its affiliates.
https://www.eclipse.org/openj9 is a high performance, scalable, Java virtual machine (JVM) implementation that represents hundreds of person-years of effort. Contributed to the Eclipse project by IBM, the OpenJ9 JVM underpins the IBM SDK, Java Technology Edition product that is a core component of many IBM Enterprise software products. Continued development of OpenJ9 at the Eclipse foundation ensures wider collaboration, fresh innovation, and the opportunity to influence the development of OpenJ9 for the next generation of Java applications. The Eclipse OpenJ9 Docker images are available through AdoptOpenJDK. They are available from https://hub.docker.com/u/adoptopenjdk/.
There are three types of Docker images here: the Software Developers Kit (SDK), and the Java Runtime Environment (JRE) and a small footprint version of the JRE (SFJ). These images can be used as the basis for custom built images for running your applications.
Small Footprint JRE
The Small Footprint JRE (http://www.ibm.com/support/knowledgecenter/en/SSYKE2_8.0.0/com.ibm.java.lnx.80.doc/user/small_jre.html) is designed specifically for web developers who want to develop and deploy cloud-based Java applications. Java tools and functions that are not required in the cloud environment, such as the Java control panel, are removed. The runtime environment is stripped down to provide core, essential function that has a greatly reduced disk and memory footprint.
Alpine Linux
*** using http://alpinelinux.org/ if you are concerned about the size of the overall image. Alpine Linux is a stripped down version of Linux that is based on http://wiki.musl-libc.org/wiki/Functional_differences_from_glibc and Busybox, resulting in a https://hub.docker.com/_/alpine/ size of approximately 5 MB. Due to its extremely small size and reduced number of installed packages, it has a much smaller *** surface which improves security. IBM SDK has a dependency on gnu glibc, the sources can be found https://github.com/sgerrand/docker-glibc-builder/releases/. Installing this library adds an extra 8 MB to the image size. The following table compares Docker Image sizes based on the JRE version 8.0-3.10.
| JRE | JRE | SFJ | SFJ |
|---|---|---|---|
| Ubuntu | Alpine | Ubuntu | Alpine |
| 305 MB | 184 MB | 220 MB | 101 MB |
Note: Alpine Linux is not an officially supported operating system for IBM® SDK, Java™ Technology Edition.
Multi-Arch Image
Docker Images for the following architectures are now available:
ibmjava now has multi-arch support and so the exact same commands as below works on all supported architectures. This also means that it is no longer necessary to prefix the arch with the image name as that happens auto-magically.
To run a pre-built jar file with the JRE image, use the following commands:
dockerfileFROM ibmjava:jre RUN mkdir /opt/app COPY japp.jar /opt/app CMD ["java", "-jar", "/opt/app/japp.jar"]
You can build and run the Docker Image as shown in the following example:
consoledocker build -t japp . docker run -it --rm japp
If you want to place the jar file on the host file system instead of inside the container, you can mount the host path onto the container by using the following commands:
dockerfileFROM ibmjava:jre CMD ["java", "-jar", "/opt/app/japp.jar"]
consoledocker build -t japp . docker run -it -v /path/on/host/system/jars:/opt/app japp
IBM SDK, Java Technology Edition provides a feature called http://www-01.ibm.com/support/knowledgecenter/SSYKE2_8.0.0/com.ibm.java.lnx.80.doc/diag/understanding/shared_classes.html. This mechanism offers transparent and dynamic sharing of data between multiple Java virtual machines (JVMs) running on the same host thereby reducing the amount of physical memory consumed by each JVM instance. By providing partially verified classes and possibly pre-loaded classes in memory, this mechanism also improves the start up time of the JVM.
To enable class data sharing between JVMs that are running in different containers on the same host, a common location must be shared between containers. This requirement can be satisfied through the host or a data volume container. When enabled, class data sharing creates a named "class cache", which is a memory-mapped file, at the common location. This feature is enabled by passing the -Xshareclasses option to the JVM as shown in the following Dockerfile example:
dockerfileFROM ibmjava:jre RUN mkdir /opt/shareclasses RUN mkdir /opt/app COPY japp.jar /opt/app CMD ["java", "-Xshareclasses:cacheDir=/opt/shareclasses", "-jar", "/opt/app/japp.jar"]
The cacheDir sub-option specifies the location of the class cache. For example /opt/sharedclasses. When sharing through the host, a host path must be mounted onto the container at the location the JVM expects to find the class cache. For example:
consoledocker build -t japp . docker run -it -v /path/on/host/shareclasses/dir:/opt/shareclasses japp
When sharing through a data volume container, create a named data volume container that shares a volume.
consoledocker create -v /opt/shareclasses --name classcache japp /bin/true
Then start your JVM container by using --volumes-from flag to mount the shared volume, as shown in the following example:
consoledocker run -it --volumes-from classcache japp
See the https://hub.docker.com/_/websphere-liberty/, which builds on top of this IBM docker image for Java.
The Dockerfiles and associated scripts are licensed under the http://www.apache.org/licenses/LICENSE-2.0.html.
Licenses for the products installed within the images:
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
Some additional license information which was able to be auto-detected might be found in https://github.com/docker-library/repo-info/tree/master/repos/ibmjava.
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.
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以下是 ibmjava 相关的常用 Docker 镜像,适用于 不同场景 等不同场景: