Crates.io | congee |
lib.rs | congee |
version | 0.3.0 |
source | src |
created_at | 2022-02-15 20:59:22.963666 |
updated_at | 2024-10-07 14:54:57.671096 |
description | A Rust implementation of ART-OLC concurrent adaptive radix tree. |
homepage | |
repository | https://github.com/XiangpengHao/congee |
max_upload_size | |
id | 532920 |
size | 452,248 |
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.
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.
Not for arbitrary key size. This library only supports 8 byte key.
Congee aims to be a simple and reliable primitive for building database systems.
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));
Benchmarked with the conc-map-bench