stackabletech / stackabletech/spark-k8s-operator
Add support for Volcano
Nobody has claimed this yet.
- Dominant language
- Rust
- Stars
- 72
- Forks
- 4
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 15
Description
Description
New versions of Spark have added experimental support for Volcano which supports topology based scheduling (eventually relevant for data locality).
Investigate the advantages of adding support for this scheduler to the operator.
N.B. notes on Alluxio can be found here.
Contributor guide
No contributing guide indexed for this repository
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.
Research direction
Start with the linked Spark-on-Kubernetes Volcano documentation and the Alluxio notes in issue #120. No files, tests, or entry points are named, so first locate the operator's scheduler integration. Done means documenting Volcano's advantages and the implementation scope needed to support it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, rust
- Domain
- distributed-systems, infrastructure
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100