Docker部署方式,任务资源泄漏
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- docker, typescript
Research direction
Start by tracing task submission and Ray instance lifecycle in datamate-runtime when running in Docker. Reproduce multiple task submissions and observe whether each Ray instance remains after completion. Done means completed tasks no longer leave their Ray instances or consume their resources.
Written by the indexing model from the issue text.
Description
在 Docker 运行模式下,datamate-runtime 每次提交任务都会启动一个新的 Ray 实例,任务执行完成后,对应的 Ray 实例没有被自动销毁或回收,从而导致了资源泄漏。
- Dominant language
- TypeScript
- Stars
- 368
- Forks
- 46
- Avg merge
- 1h
- Merged PRs (30d)
- 1
Getting set up
We have not checked this project's setup files yet. Start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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