Parallelize `aggregate()`
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performance 🚀
- Dominant language
- Python
- Stars
- 394
- Forks
- 95
- Avg merge
- 4d 3h
- Merged PRs (30d)
- 7
Description
aggregate() is not exploiting dask partitions and parallelization; using it may improve performance. We could make some experiments/benchmarks.
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.
Research direction
Start by locating the aggregate() implementation and examining how it currently processes partitions. Run or add focused benchmarks comparing current behavior with partition-aware parallel execution; done should include measured results and a clearly supported performance change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100