Crates.io | disco-quick |
lib.rs | disco-quick |
version | 0.1.1 |
source | src |
created_at | 2023-10-31 05:07:33.140857 |
updated_at | 2023-10-31 05:18:46.035204 |
description | Library for processing the Discogs XML data dumps |
homepage | |
repository | https://github.com/sublipri/disco-quick |
max_upload_size | |
id | 1019360 |
size | 67,157 |
Disco Quick is a library for processing the Discogs monthly data dumps via iterators of structs. It uses quick-xml's streaming API with a state machine decoupled from discogs-load and significantly expanded to handle all the data in the dumps.
use disco_quick::DiscogsReader;
use std::env;
fn main() {
for arg in env::args().skip(1) {
let reader = match DiscogsReader::from_path(arg.as_ref()) {
Ok(reader) => reader,
Err(e) => {
eprintln!("Error reading {arg}. {e}");
continue;
}
};
match reader {
DiscogsReader::Artists(artists) => {
for artist in artists.take(100) {
println!("Artist ID {} is {}", artist.id, artist);
}
}
DiscogsReader::Labels(labels) => {
for label in labels.take(100) {
println!("Label ID {} is {}", label.id, label);
}
}
DiscogsReader::Masters(masters) => {
for master in masters.take(100) {
println!("Master ID {} is {}", master.id, master);
}
}
DiscogsReader::Releases(releases) => {
for release in releases.take(100) {
println!("Release ID {} is {}", release.id, release);
}
}
};
}
}
Running examples/count.rs
with the 2023-10-01 dumps on a Ryzen 3900x with DDR4-3200 RAM produced the following results:
Parsed 8823813 artists in 20.476s (430914.2/s)
Parsed 2044219 labels in 03.186s (641475.25/s)
Parsed 2247215 masters in 23.626s (95113.26/s)
Parsed 16653652 releases in 12m30.206s (22198.756/s)
Peak memory usage was 5.2MB.