congee

Crates.iocongee
lib.rscongee
version0.3.0
sourcesrc
created_at2022-02-15 20:59:22.963666
updated_at2024-10-07 14:54:57.671096
descriptionA Rust implementation of ART-OLC concurrent adaptive radix tree.
homepage
repositoryhttps://github.com/XiangpengHao/congee
max_upload_size
id532920
size452,248
Xiangpeng Hao (XiangpengHao)

documentation

README

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::Art;
let art = Art::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

Commit count: 312

cargo fmt