This project was initiated with the intent of comparing the performance of Rust and Python by writing code in both languages to create a GeoJSON file with quadkey added to airport data.
The original source of the data is from Datahub.io Core Datasets, but for this project, the data was downloaded from a Kaggle dataset made available by Kaggle user Jinbonnie.
The dataset consists of airport codes from around the world. The airport codes may refer to either the IATA airport code, a three-letter code used in passenger reservation, ticketing, and baggage-handling systems, or the ICAO airport code, which is a four-letter code used by Air Traffic Control (ATC) systems and for airports that do not have an IATA airport code, as defined by Wikipedia.
Contrary to expectations, there was almost no difference in performance between the two languages for this specific task. Below are the observed performances:
- Rust: 0.82s user, 0.08s system, 63% CPU, 1.422s total
- Python: 1.13s user, 0.09s system, 89% CPU, 1.366s total
These results indicate that this particular process may not be suitable for comparing the performance of Rust and Python as there was no significant difference in execution time.
Additionally, I used Mapbox to display the created GeoJSON.
