datamate-frontend 冷启动时可能连不上 datamate-gateway；datamate-runtime 在 Docker 默认共享内存下可能 OOM
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 74/100
- Issue type
- Bug
- Clarity
- Clearly specified
- Activity status
- Quiet
- Tech stack
- docker, docker-compose
- Domain
- devops, infrastructure
Research direction
Open deployment/docker/datamate/docker-compose.yml and inspect the datamate-frontend and datamate-runtime service definitions first. Verify the dependency and shared-memory settings, then run docker compose config and a cold-start compose run; done means frontend can start with datamate-gateway available and the runtime has the requested Ray memory configuration.
Written by the indexing model from the issue text.
Description
问题一：服务启动顺序缺失
deployment/docker/datamate/docker-compose.yml 里 datamate-frontend 的
depends_on 列出了 datamate-backend 和 datamate-backend-python，但没有
datamate-gateway。冷启动 docker-compose up 时，frontend 可能在 gateway
就绪之前就先启动了，导致 frontend 请求 gateway 失败，直到手动重启才恢复。
问题二：Ray 在默认 Docker 共享内存下 OOM
datamate-runtime 跑的是基于 Ray 的流水线，但没有设置 shm_size。Docker 默认
的 /dev/shm（64MB）远低于 Ray object store 实际需要的量——这是 Ray 部署里
一个众所周知的、会导致高负载下 worker 崩溃的原因。
建议修复方向
- 给 datamate-frontend 的 depends_on 加上 datamate-gateway。
- 给 datamate-runtime 加 shm_size: "10gb"，并调整
RAY_DEFAULT_OBJECT_STORE_MEMORY_PROPORTION。
我已经准备好 compose 文件的修改，会提一个 PR。
- Dominant language
- TypeScript
- Stars
- 368
- Forks
- 46
- Avg merge
- 1h
- Merged PRs (30d)
- 1
Getting set up
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