[Improvement] Optimize local disk selection strategy
- Dominant language
- Java
- Stars
- 454
- Forks
- 172
- Avg merge
- 5d 17h
- Merged PRs (30d)
- 5
Description
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct)
### Search before asking
- [X] I have searched in the [issues](https://github.com/apache/incubator-uniffle/issues?q=is%3Aissue) and found no similar issues.
### What would you like to be improved?
I want to raise this issue to improve stability when using MEMORY_LOCALFILE storage type. Maybe some issues will be as sub-tasks in this improvement.
The first improvement is to avoid all apps fail when single disk capacity reaches high-watermark. We could do below optimizations.
1. Introduce the metrics of TOP10 apps which use the number of written bytes #333 .
2. Introduce the free space & total space metrics of every local disk
3. Introduce the pluggable disk selection strategy. Currently the disk will be selected based on the hash. Free-capacity based strategy should be supported.
4. Allow app write data to another disk when encountering the corresponding disk reaching high-watermark #306
### How should we improve?
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
Contributor guide
Research direction
No files, tests, or entry points are named. Start by locating the MEMORY_LOCALFILE storage implementation and its current hash-based disk selection, then review issues #333 and #306. Done would require an agreed scope and design for disk metrics, pluggable or free-capacity-based selection, and fallback when a disk reaches its high-watermark.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java
- Domain
- backend, distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100