
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。
ScyllaDB是一款高性能的NoSQL数据库系统,完全兼容Apache Cassandra。更多信息请访问http://www.scylladb.com/%E3%80%82 如果您使用ScyllaDB企业版,需遵守https://www.scylladb.com/scylladb-proprietary-software-license-agreement/%E5%92%8C%E2%80%9C%E8%AF%84%E4%BC%B0%E8%AE%B8%E5%8F%AF%E2%80%9D%E3%80%82
该镜像使用FIPS 140-2认证的库和处于FIPS模式的Ubuntu Linux内核。
!http://www.scylladb.com/wp-content/uploads/mascot_medium.png
console$ docker run --name some-scylla -d scylladb/scylla-enterprise-pro
console$ docker exec -it some-scylla nodetool status Datacenter: datacenter1 ======================= Status=Up/Down |/ State=Normal/Leaving/Joining/Moving -- Address Load Tokens Owns (effective) Host ID Rack UN 172.17.0.2 125.51 KB 256 100.0% c9155121-786d-44f8-8667-a8b915b95665 rack1
console$ docker exec -it some-scylla cqlsh Connected to Test Cluster at 172.17.0.2:9042. [cqlsh 5.0.1 | Cassandra 2.1.8 | CQL spec 3.2.1 | Native protocol v3] Use HELP for help. cqlsh>
console$ docker run --name some-scylla2 -d scylladb/scylla-enterprise-pro --seeds="$(docker inspect --format='{{ .NetworkSettings.IPAddress }}' some-scylla)"
console$ docker logs some-scylla | tail INFO 2016-08-04 06:57:40,836 [shard 5] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,836 [shard 3] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,836 [shard 1] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,836 [shard 2] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,836 [shard 4] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,836 [shard 7] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,837 [shard 6] database - Setting compaction strategy of system_traces.events to SizeTieredCompactionStrategy INFO 2016-08-04 06:57:40,839 [shard 0] database - Schema version changed to fea14d93-9c5a-34f5-9d0e-2e49dcfa747e INFO 2016-08-04 06:57:40,839 [shard 0] storage_service - Starting listening for CQL clients on 172.17.0.2:9042... INFO 2016-08-04 06:57:40,840 [shard 0] storage_service - Thrift server listening on 172.17.0.2:9160 ...
您可以使用Docker卷提升Scylla性能。在主机创建数据目录:
console$ sudo mkdir -p /var/lib/scylla/data /var/lib/scylla/commitlog
挂载卷并禁用开发者模式(生产环境推荐):
console$ docker run --name some-scylla --volume /var/lib/scylla:/var/lib/scylla -d scylladb/scylla-enterprise-pro --developer-mode=0
Scylla默认使用所有CPU和内存。可通过--smp(CPU数量)、--memory(内存限制)、--cpuset(指定CPU)调整。超配环境建议启用--overprovisioned优化。
使用supervisord重启:
consoledocker exec -it some-scylla supervisorctl restart scylla
--seeds SEEDS:配置种子节点(默认自身IP)--listen-address ADDR:监听客户端连接的IP--broadcast-address ADDR:集群内广播的IP--broadcast-rpc-address ADDR:客户端连接的广播IP--smp COUNT:限制CPU数量--memory AMOUNT:限制内存(支持M/G单位)--overprovisioned ENABLE:超配环境优化(0/1)--cpuset CPUSET:指定运行的CPU(如0-2,4)--developer-mode ENABLE:开发者模式(默认启用,生产建议禁用)--experimental ENABLE:实验模式(默认禁用)bug报告请用https://github.com/scylladb/scylla/issues%EF%BC%8C%E6%8F%90%E4%BA%A4%E5%89%8D%E9%98%85%E8%AF%BBhttps://github.com/scylladb/scylla/wiki/How-to-report-a-Scylla-problem%E3%80%82%E4%B8%80%E8%88%AC%E5%B8%AE%E5%8A%A9%E5%8F%82%E8%80%83http://www.scylladb.com/doc/%EF%BC%8C%E9%97%AE%E9%A2%98%E8%AF%84%E8%AE%BA%E7%94%A8http://www.scylladb.com/community/%E3%80%82
参考http://www.scylladb.com/kb/contributing/%E6%8F%90%E4%BA%A4%E4%BB%A3%E7%A0%81%E3%80%82
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