19 releases

0.3.3 Nov 21, 2024
0.3.0 Oct 7, 2024
0.2.18 Dec 21, 2022
0.2.16 Oct 17, 2022
0.2.9 Mar 17, 2022

#267 in Database interfaces

Download history 173/week @ 2024-10-07 23/week @ 2024-10-14 2/week @ 2024-10-21 13/week @ 2024-11-04 285/week @ 2024-11-18 22/week @ 2024-11-25

320 downloads per month

MIT license

270KB
3.5K SLoC

Congee

congee Crates.io dependency status codecov Documentation

A Rust implementation of ART-OLC concurrent adaptive radix tree. It implements the optimistic lock coupling with proper SIMD support.

It only supports (and is optimized for) fixed sized 8 byte key; due to this specialization, congee has great performance -- basic operations are faster than most hash tables, range scan is an order of magnitude faster.

The codebase is extensively tested with {address|leak} sanitizer as well as libfuzzer. Congee's performance is continuously tracked here.

Why Congee?

  • Fast performance, faster than most hash tables.
  • Concurrent, super scalable, it reaches 150Mop/s on 32 cores.
  • Super low memory consumption. Hash tables often have exponential bucket size growth, which often lead to low load factors. ART is more space efficient.

Why not Congee?

  • Not for arbitrary key size. This library only supports 8 byte key.

Design principles

Congee aims to be a simple and reliable primitive for building database systems.

Example:

use congee::Congee;
let art = Congee::default();
let guard = art.pin(); // enter an epoch

art.insert(0, 42, &guard); // insert a value
let val = art.get(&0, &guard).unwrap(); // read the value
assert_eq!(val, 42);

let mut scan_buffer = vec![(0, 0); 8];
let scan_result = art.range(&0, &10, &mut scan_buffer, &guard); // scan values
assert_eq!(scan_result, 1);
assert_eq!(scan_buffer[0], (0, 42));

Performance

Benchmarked with the conc-map-bench

Exchange Rapid grow read-heavy

Dependencies