dask / dask/dask-benchmarks

Join and merge benchmarks.

Open
#19 2 comments 0 reactions 0 assignees View on GitHub
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

Open the contributing 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

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