Parallelization Factor for Kafka event source mappings (ESM)
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- aws, kafka
- Domain
- cloud, distributed-systems
Research direction
Begin by confirming the current Kafka event source mapping behavior and what concurrent batches per partition means for processing spiky traffic. The issue names no repository files, tests, or entry points, so the work first needs an agreed implementation scope; done would include validating the requested parallelization behavior.
Written by the indexing model from the issue text.
Description
Note
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Description
Parallelization Factor allows customer to process one or more concurrent batches per partition to allow faster processing for spiky traffic.
- Dominant language
- No language data
- Stars
- 196
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Contributor 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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