Using Arrow to further speed up raw data I/O

[ghiggi]

Prework

• [x] Read and agree to the code of conduct.
• [x] If there is already a relevant issue, whether open or closed, comment on the existing thread instead of posting a new issue.
• [ ] Post a minimal reproducible example so the maintainer can troubleshoot the problems you identify. A reproducible example is:
• [ ] Runnable
• [ ] Minimal: reduce runtime wherever possible and remove complicated details that are irrelevant to the issue at hand.

Description

Evaluate the benefits of using:

• the engine="arrow" in read.csv to read the raw data using multithreading,
• the arrow dtype backend introduced in pandas 2.0 to decrease the memory usage of string columns in pd.DataFrame

Please describe the performance issue.

Benchmarks

How poorly does DISDRODB perform?