TPC-DS at different scale factors

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#30 4 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
performance, testing

Research direction

Start by reading #25 and the existing built-in benchmark setup, then compare it with the linked DataFusion reproduction. The work would be complete when a fixed SF=10 dataset is included and the built-in setup can reproduce the DataFusion issue without the separate benchmarking arrangement.

Written by the indexing model from the issue text.

Description

My understanding from #25 is that the data generation itself is somewhat random so it should be static rather than generated on the fly, so would a PR adding a fixed version of SF=10 be welcome?

My main motivation is diving into this DataFusion issue I've filed a while ago, right now my main way to reproduce the issue is through another benchmarking setup but that is a bit convoluted and it'll be really nice to use the built-in setup in the main repo.

Dominant language
Python
Stars
23
Forks
19
No merged PRs in 30d

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