
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。
Note: this is the master branch - for a particular Hadoop version always check the related branch
If you'd like to try directly from the Dockerfile you can build the image as:
docker build -t dvoros/hadoop:latest .
The image is also released as an official Docker image from Docker's automated build repository - you can always pull or refer the image when launching containers.
docker pull dvoros/hadoop:latest
In order to use the Docker image you have just build or pulled use:
Make sure that SELinux is disabled on the host. If you are using boot2docker you don't need to do anything.
docker run -it dvoros/hadoop:latest /etc/bootstrap.sh -bash
You can run one of the stock examples:
# run mapreduce hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar grep input output 'dfs[a-z.]+' # check the output hdfs dfs -cat output/*
The Hadoop build process is no easy task - requires lots of libraries and their right version, protobuf, etc and takes some time - we have simplified all these, made the build and released a 64b version of Hadoop nativelibs https://github.com/dvoros/docker-hadoop-build/releases. (These are automatically pulled during the build of this image.)
以下是 dvoros/hadoop 相关的常用 Docker 镜像,适用于 不同场景 等不同场景:
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。




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