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cbreeden/fxhash: A fast, non-secure, hashing algorithm derived from an internal ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称：

cbreeden/fxhash

开源软件地址：

https://github.com/cbreeden/fxhash

开源编程语言：

Rust 100.0%

开源软件介绍：

Fx Hash

This hashing algorithm was extracted from the Rustc compiler. This is the same hashing algorithm used for some internal operations in Firefox. The strength of this algorithm is in hashing 8 bytes at a time on 64-bit platforms, where the FNV algorithm works on one byte at a time.

Disclaimer

It is not a cryptographically secure hash, so it is strongly recommended that you do not use this hash for cryptographic purproses. Furthermore, this hashing algorithm was not designed to prevent any attacks for determining collisions which could be used to potentially cause quadratic behavior in HashMaps. So it is not recommended to expose this hash in places where collissions or DDOS attacks may be a concern.

Examples

Building an Fx backed hashmap.

extern crate fxhash;
use fxhash::FxHashMap;

let mut hashmap = FxHashMap::default();

hashmap.insert("black", 0);
hashmap.insert("white", 255);

Building an Fx backed hashset.

extern crate fxhash;
use fxhash::FxHashSet;

let mut hashset = FxHashSet::default();

hashset.insert("black");
hashset.insert("white");

Benchmarks

Generally fxhash is faster than fnv on u32, u64, or any byte sequence with length >= 5. However, keep in mind that hashing speed is not the only characteristic worth considering. That being said, Rustc had an observable increase in speed when switching from fnv backed hashmaps to fx based hashmaps.

bench_fnv_003     ... bench:      3 ns/iter (+/- 0)
bench_fnv_004     ... bench:      2 ns/iter (+/- 0)
bench_fnv_011     ... bench:      6 ns/iter (+/- 1)
bench_fnv_012     ... bench:      5 ns/iter (+/- 1)
bench_fnv_023     ... bench:     14 ns/iter (+/- 3)
bench_fnv_024     ... bench:     14 ns/iter (+/- 4)
bench_fnv_068     ... bench:     57 ns/iter (+/- 11)
bench_fnv_132     ... bench:    145 ns/iter (+/- 30)
bench_fx_003      ... bench:      4 ns/iter (+/- 0)
bench_fx_004      ... bench:      3 ns/iter (+/- 1)
bench_fx_011      ... bench:      5 ns/iter (+/- 2)
bench_fx_012      ... bench:      4 ns/iter (+/- 1)
bench_fx_023      ... bench:      7 ns/iter (+/- 3)
bench_fx_024      ... bench:      4 ns/iter (+/- 1)
bench_fx_068      ... bench:     10 ns/iter (+/- 3)
bench_fx_132      ... bench:     19 ns/iter (+/- 5)
bench_seahash_003 ... bench:     30 ns/iter (+/- 12)
bench_seahash_004 ... bench:     32 ns/iter (+/- 22)
bench_seahash_011 ... bench:     30 ns/iter (+/- 4)
bench_seahash_012 ... bench:     31 ns/iter (+/- 1)
bench_seahash_023 ... bench:     32 ns/iter (+/- 6)
bench_seahash_024 ... bench:     31 ns/iter (+/- 5)
bench_seahash_068 ... bench:     40 ns/iter (+/- 9)
bench_seahash_132 ... bench:     50 ns/iter (+/- 12)



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