Join and merge benchmarks.
Open
- Dominant language
- Python
- Stars
- 18
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
Is there benchmark for join and merge operation on indexed columns? According to official Dask performance guide, this operation should be fast compared to pandas, but when benchmarking on my data, the speed up when using 8 partitions was ~7% which was quite disappointing, and I could not find any benchmarks for this.
Contributor guide
Research direction
No files, tests, or entry points are named. Start by reviewing the repository's existing asv benchmark structure and the official Dask performance guide, then identify how indexed join and merge cases are represented. Done means adding benchmarks that measure these operations and make the results comparable with pandas.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data, performance
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100