HyP3 jobs with mapping overwhelm the batch queue
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
Start by tracing the mapping step that submits LAVAs jobs to AWS Batch and inspect the related work in issue #3020. The issue suggests limiting concurrent submissions or adding backoff for throttling, but leaves the approach open; done means choosing and implementing a suitable rate limit strategy so mapped jobs avoid overwhelming the batch queue.
Written by the indexing model from the issue text.
Description
For LAVAs jobs, we're seeing too slow downs from AWS Batch submits because we don't adequetly handle the rate limits when submitting a bunch of jobs from a mapping step (when we fan out).
We should figure out how to handle this more appropriately, which might look like:
- submitting fewer jobs at a time
- catching slow down responses and backing off (exponential with jitter?)
- rethinking this bit entirely (in conjunction with #3020 )
- Dominant language
- Python
- Stars
- 53
- Forks
- 13
- Avg merge
- 1d 2h
- Merged PRs (30d)
- 20
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
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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