
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。
https://github.com/KSmanis/docker-gentoo-distcc/actions/workflows/build.yml/badge.svg](https://github.com/KSmanis/docker-gentoo-distcc/actions/workflows/build.yml) https://github.com/KSmanis/docker-gentoo-distcc/actions/workflows/lint.yml/badge.svg](https://github.com/KSmanis/docker-gentoo-distcc/actions/workflows/lint.yml) , run the containerized distcc server (distccd):
shelldocker run -d -p 3632:3632 --name gentoo-distcc --rm ksmanis/gentoo-distcc
distccd should now be accessible from all interfaces at port 3632
(0.0.0.0:3632).
[!NOTE]
Only private IP addresses are allowed to connect to distccd by default.
Command-line arguments are passed on verbatim to distccd. For instance, you can turn on the built-in HTTP statistics server:
shelldocker run -d -p 3632-3633:3632-3633 --name gentoo-distcc --rm ksmanis/gentoo-distcc --stats
The statistics server should now be accessible from all interfaces at port 3633
(0.0.0.0:3633).
For a full list of options refer to distccd(1).
If you share a worker instance between multiple clients, you might be interested
in enabling server-side caching with ccache to avoid redundant recompilations.
To do so, pull the ccache tag:
shelldocker run -d -p 3632:3632 --name gentoo-distcc-ccache --rm ksmanis/gentoo-distcc:ccache
The directory /var/cache/ccache automatically persists in an anonymous Docker
volume, but a named Docker volume or a bind mount may also be used for stronger
persistence guarantees.
Ccache statistics can be queried as follows:
shelldocker exec gentoo-distcc-ccache ccache -sv
For projects that require the Clang compiler, dedicated image variants are available. These variants include both the GCC and Clang compilers.
To use the Clang variant:
shelldocker run -d -p 3632:3632 --name gentoo-distcc-clang --rm ksmanis/gentoo-distcc:clang
To use the Clang variant with ccache:
shelldocker run -d -p 3632:3632 --name gentoo-distcc-ccache-clang --rm ksmanis/gentoo-distcc:ccache_clang
All amd64 image variants support cross-compilation for the arm64
architecture (specifically the aarch64-unknown-linux-gnu toolchain) and vice
versa: all arm64 image variants support cross-compilation for the amd64
architecture (specifically the x86_64-pc-linux-gnu toolchain). In other words,
an amd64 desktop can be used to cross-compile for an arm64 Raspberry Pi and
vice versa.
Cross-compilation support is enabled out of the box without any user configuration. More architecture combinations can be added upon request.
A manual way to test the containers is to compile a sample C file:
c#include <stdio.h> int main() { printf("Hello, distcc!\n"); return 0; }
shellDISTCC_HOSTS="127.0.0.1:3632" DISTCC_VERBOSE=1 distcc gcc -c main.c -o /dev/null
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