
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。
A lightweight Docker image running Elasticsearch 9.2.4, optimized for development and integration testing.
Note This has been adopted from https://github.com/Sanne/elasticsearch-light-testing
The official image from Elastic is designed to be flexible and comes with safe defaults, to make sure it's a reasonable starting point for many use cases. For quick integration testing we need mostly small indexes and use "throw away" cheap storage, which leads me to reconfigure most of the official image. Not least I don't need to run the additional plugins it comes with, and no need to waste 2G of heap for the JVM tuning.
To make sure our software behaves as intended, we'll also strictly ban deprecated features and not recommended settings, have the logger spit out a warning for anything dodgy.
Finally, we disable clustering. This image is certainly not intended for complex failure testing nor performance / scalability tests, for any of those use the official images.
This image is based on the official Elasticsearch 9.2.4 Docker image with custom lightweight configuration.
docker pull eklavvya/elasticsearch-light-testing
docker run --ulimit memlock=-1:-1 -it --net=host --rm=true --memory-swappiness=0 --name es-it eklavvya/elasticsearch-light-testing
Done!
Keep in mind that this image is meant for development in quick iterations; the above options will terminate the container on CTRL+C and remove any data stored.
I highly recommend using tmpfs for storage as Docker is otherwise not very efficient; direct host network usage also helps with efficiency:
docker run --ulimit memlock=-1:-1 -ti --tmpfs /run --tmpfs=/usr/share/elasticsearch/volatile/data:uid=1000 --tmpfs=/usr/share/elasticsearch/volatile/logs:uid=1000 --net=host --name es-it eklavvya/elasticsearch-light-testing
Unfortunately the parameters format Docker requires for tmpfs changes across various versions:
you might need to adapt the above suggestion.
Get rid of it after testing:
docker stop es-it && docker rm es-it
docker build -t eklavvya/elasticsearch-light-testing .
Don't forget to change customtest consistently in the run script:
docker run --ulimit memlock=-1:-1 -it --net=host --rm=true --memory-swappiness=0 --name es-it eklavvya/elasticsearch-light-testing
This image includes the following lightweight optimizations:
/usr/share/elasticsearch/volatile/ for data and logsCommon Issues with Elasticsearch 9.x Container Fails to Start with Security Manager Error: If you see errors about "Security Manager is not supported", ensure you're using the latest image version which removes incompatible JVM flags.
Memory Issues: The default 512MB heap is optimized for testing. Increase heap size if needed:
docker run -e "ES_JAVA_OPTS=-Xms1g -Xmx1g" eklavvya/elasticsearch-light-testing
Always verify the correct version is running:
curl -s http://localhost:9200 | jq '.version.number' # Expected: "9.2.4"
After starting the container, verify it's running:
curl http://localhost:9200/_cluster/health
https://hub.docker.com/r/eklavvya/elasticsearch-light-testing
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。
来自真实用户的反馈,见证轩辕镜像的优质服务