| 1 | //! This crate provides foldhash, a fast, non-cryptographic, minimally |
| 2 | //! DoS-resistant hashing algorithm designed for computational uses such as |
| 3 | //! hashmaps, bloom filters, count sketching, etc. |
| 4 | //! |
| 5 | //! When should you **not** use foldhash: |
| 6 | //! |
| 7 | //! - You are afraid of people studying your long-running program's behavior |
| 8 | //! to reverse engineer its internal random state and using this knowledge to |
| 9 | //! create many colliding inputs for computational complexity attacks. |
| 10 | //! |
| 11 | //! - You expect foldhash to have a consistent output across versions or |
| 12 | //! platforms, such as for persistent file formats or communication protocols. |
| 13 | //! |
| 14 | //! - You are relying on foldhash's properties for any kind of security. |
| 15 | //! Foldhash is **not appropriate for any cryptographic purpose**. |
| 16 | //! |
| 17 | //! Foldhash has two variants, one optimized for speed which is ideal for data |
| 18 | //! structures such as hash maps and bloom filters, and one optimized for |
| 19 | //! statistical quality which is ideal for algorithms such as |
| 20 | //! [HyperLogLog](https://en.wikipedia.org/wiki/HyperLogLog) and |
| 21 | //! [MinHash](https://en.wikipedia.org/wiki/MinHash). |
| 22 | //! |
| 23 | //! Foldhash can be used in a `#![no_std]` environment by disabling its default |
| 24 | //! `"std"` feature. |
| 25 | //! |
| 26 | //! # Usage |
| 27 | //! |
| 28 | //! The easiest way to use this crate with the standard library [`HashMap`] or |
| 29 | //! [`HashSet`] is to import them from `foldhash` instead, along with the |
| 30 | //! extension traits to make [`HashMap::new`] and [`HashMap::with_capacity`] |
| 31 | //! work out-of-the-box: |
| 32 | //! |
| 33 | //! ```rust |
| 34 | //! use foldhash::{HashMap, HashMapExt}; |
| 35 | //! |
| 36 | //! let mut hm = HashMap::new(); |
| 37 | //! hm.insert(42, "hello" ); |
| 38 | //! ``` |
| 39 | //! |
| 40 | //! You can also avoid the convenience types and do it manually by initializing |
| 41 | //! a [`RandomState`](fast::RandomState), for example if you are using a different hash map |
| 42 | //! implementation like [`hashbrown`](https://docs.rs/hashbrown/): |
| 43 | //! |
| 44 | //! ```rust |
| 45 | //! use hashbrown::HashMap; |
| 46 | //! use foldhash::fast::RandomState; |
| 47 | //! |
| 48 | //! let mut hm = HashMap::with_hasher(RandomState::default()); |
| 49 | //! hm.insert("foo" , "bar" ); |
| 50 | //! ``` |
| 51 | //! |
| 52 | //! The above methods are the recommended way to use foldhash, which will |
| 53 | //! automatically generate a randomly generated hasher instance for you. If you |
| 54 | //! absolutely must have determinism you can use [`FixedState`](fast::FixedState) |
| 55 | //! instead, but note that this makes you trivially vulnerable to HashDoS |
| 56 | //! attacks and might lead to quadratic runtime when moving data from one |
| 57 | //! hashmap/set into another: |
| 58 | //! |
| 59 | //! ```rust |
| 60 | //! use std::collections::HashSet; |
| 61 | //! use foldhash::fast::FixedState; |
| 62 | //! |
| 63 | //! let mut hm = HashSet::with_hasher(FixedState::with_seed(42)); |
| 64 | //! hm.insert([1, 10, 100]); |
| 65 | //! ``` |
| 66 | //! |
| 67 | //! If you rely on statistical properties of the hash for the correctness of |
| 68 | //! your algorithm, such as in [HyperLogLog](https://en.wikipedia.org/wiki/HyperLogLog), |
| 69 | //! it is suggested to use the [`RandomState`](quality::RandomState) |
| 70 | //! or [`FixedState`](quality::FixedState) from the [`quality`] module instead |
| 71 | //! of the [`fast`] module. The latter is optimized purely for speed in hash |
| 72 | //! tables and has known statistical imperfections. |
| 73 | //! |
| 74 | //! Finally, you can also directly use the [`RandomState`](quality::RandomState) |
| 75 | //! or [`FixedState`](quality::FixedState) to manually hash items using the |
| 76 | //! [`BuildHasher`](std::hash::BuildHasher) trait: |
| 77 | //! ```rust |
| 78 | //! use std::hash::BuildHasher; |
| 79 | //! use foldhash::quality::RandomState; |
| 80 | //! |
| 81 | //! let random_state = RandomState::default(); |
| 82 | //! let hash = random_state.hash_one("hello world" ); |
| 83 | //! ``` |
| 84 | //! |
| 85 | //! ## Seeding |
| 86 | //! |
| 87 | //! Foldhash relies on a single 8-byte per-hasher seed which should be ideally |
| 88 | //! be different from each instance to instance, and also a larger |
| 89 | //! [`SharedSeed`] which may be shared by many different instances. |
| 90 | //! |
| 91 | //! To reduce overhead, this [`SharedSeed`] is typically initialized once and |
| 92 | //! stored. To prevent each hashmap unnecessarily containing a reference to this |
| 93 | //! value there are three kinds of [`BuildHasher`](core::hash::BuildHasher)s |
| 94 | //! foldhash provides (both for [`fast`] and [`quality`]): |
| 95 | //! |
| 96 | //! 1. [`RandomState`](fast::RandomState), which always generates a |
| 97 | //! random per-hasher seed and implicitly stores a reference to [`SharedSeed::global_random`]. |
| 98 | //! 2. [`FixedState`](fast::FixedState), which by default uses a fixed |
| 99 | //! per-hasher seed and implicitly stores a reference to [`SharedSeed::global_fixed`]. |
| 100 | //! 3. [`SeedableRandomState`](fast::SeedableRandomState), which works like |
| 101 | //! [`RandomState`](fast::RandomState) by default but can be seeded in any manner. |
| 102 | //! This state must include an explicit reference to a [`SharedSeed`], and thus |
| 103 | //! this struct is 16 bytes as opposed to just 8 bytes for the previous two. |
| 104 | |
| 105 | #![cfg_attr (all(not(test), not(feature = "std" )), no_std)] |
| 106 | #![warn (missing_docs)] |
| 107 | |
| 108 | pub mod fast; |
| 109 | pub mod quality; |
| 110 | mod seed; |
| 111 | pub use seed::SharedSeed; |
| 112 | |
| 113 | #[cfg (feature = "std" )] |
| 114 | mod convenience; |
| 115 | #[cfg (feature = "std" )] |
| 116 | pub use convenience::*; |
| 117 | |
| 118 | // Arbitrary constants with high entropy. Hexadecimal digits of pi were used. |
| 119 | const ARBITRARY0: u64 = 0x243f6a8885a308d3; |
| 120 | const ARBITRARY1: u64 = 0x13198a2e03707344; |
| 121 | const ARBITRARY2: u64 = 0xa4093822299f31d0; |
| 122 | const ARBITRARY3: u64 = 0x082efa98ec4e6c89; |
| 123 | const ARBITRARY4: u64 = 0x452821e638d01377; |
| 124 | const ARBITRARY5: u64 = 0xbe5466cf34e90c6c; |
| 125 | const ARBITRARY6: u64 = 0xc0ac29b7c97c50dd; |
| 126 | const ARBITRARY7: u64 = 0x3f84d5b5b5470917; |
| 127 | const ARBITRARY8: u64 = 0x9216d5d98979fb1b; |
| 128 | const ARBITRARY9: u64 = 0xd1310ba698dfb5ac; |
| 129 | |
| 130 | #[inline (always)] |
| 131 | const fn folded_multiply(x: u64, y: u64) -> u64 { |
| 132 | // The following code path is only fast if 64-bit to 128-bit widening |
| 133 | // multiplication is supported by the architecture. Most 64-bit |
| 134 | // architectures except SPARC64 and Wasm64 support it. However, the target |
| 135 | // pointer width doesn't always indicate that we are dealing with a 64-bit |
| 136 | // architecture, as there are ABIs that reduce the pointer width, especially |
| 137 | // on AArch64 and x86-64. WebAssembly (regardless of pointer width) supports |
| 138 | // 64-bit to 128-bit widening multiplication with the `wide-arithmetic` |
| 139 | // proposal. |
| 140 | #[cfg (any( |
| 141 | all( |
| 142 | target_pointer_width = "64" , |
| 143 | not(any(target_arch = "sparc64" , target_arch = "wasm64" )), |
| 144 | ), |
| 145 | target_arch = "aarch64" , |
| 146 | target_arch = "x86_64" , |
| 147 | all(target_family = "wasm" , target_feature = "wide-arithmetic" ), |
| 148 | ))] |
| 149 | { |
| 150 | // We compute the full u64 x u64 -> u128 product, this is a single mul |
| 151 | // instruction on x86-64, one mul plus one mulhi on ARM64. |
| 152 | let full = (x as u128).wrapping_mul(y as u128); |
| 153 | let lo = full as u64; |
| 154 | let hi = (full >> 64) as u64; |
| 155 | |
| 156 | // The middle bits of the full product fluctuate the most with small |
| 157 | // changes in the input. This is the top bits of lo and the bottom bits |
| 158 | // of hi. We can thus make the entire output fluctuate with small |
| 159 | // changes to the input by XOR'ing these two halves. |
| 160 | lo ^ hi |
| 161 | } |
| 162 | |
| 163 | #[cfg (not(any( |
| 164 | all( |
| 165 | target_pointer_width = "64" , |
| 166 | not(any(target_arch = "sparc64" , target_arch = "wasm64" )), |
| 167 | ), |
| 168 | target_arch = "aarch64" , |
| 169 | target_arch = "x86_64" , |
| 170 | all(target_family = "wasm" , target_feature = "wide-arithmetic" ), |
| 171 | )))] |
| 172 | { |
| 173 | // u64 x u64 -> u128 product is quite expensive on 32-bit. |
| 174 | // We approximate it by expanding the multiplication and eliminating |
| 175 | // carries by replacing additions with XORs: |
| 176 | // (2^32 hx + lx)*(2^32 hy + ly) = |
| 177 | // 2^64 hx*hy + 2^32 (hx*ly + lx*hy) + lx*ly ~= |
| 178 | // 2^64 hx*hy ^ 2^32 (hx*ly ^ lx*hy) ^ lx*ly |
| 179 | // Which when folded becomes: |
| 180 | // (hx*hy ^ lx*ly) ^ (hx*ly ^ lx*hy).rotate_right(32) |
| 181 | |
| 182 | let lx = x as u32; |
| 183 | let ly = y as u32; |
| 184 | let hx = (x >> 32) as u32; |
| 185 | let hy = (y >> 32) as u32; |
| 186 | |
| 187 | let ll = (lx as u64).wrapping_mul(ly as u64); |
| 188 | let lh = (lx as u64).wrapping_mul(hy as u64); |
| 189 | let hl = (hx as u64).wrapping_mul(ly as u64); |
| 190 | let hh = (hx as u64).wrapping_mul(hy as u64); |
| 191 | |
| 192 | (hh ^ ll) ^ (hl ^ lh).rotate_right(32) |
| 193 | } |
| 194 | } |
| 195 | |
| 196 | #[inline (always)] |
| 197 | const fn rotate_right(x: u64, r: u32) -> u64 { |
| 198 | #[cfg (any( |
| 199 | target_pointer_width = "64" , |
| 200 | target_arch = "aarch64" , |
| 201 | target_arch = "x86_64" , |
| 202 | target_family = "wasm" , |
| 203 | ))] |
| 204 | { |
| 205 | x.rotate_right(r) |
| 206 | } |
| 207 | |
| 208 | #[cfg (not(any( |
| 209 | target_pointer_width = "64" , |
| 210 | target_arch = "aarch64" , |
| 211 | target_arch = "x86_64" , |
| 212 | target_family = "wasm" , |
| 213 | )))] |
| 214 | { |
| 215 | // On platforms without 64-bit arithmetic rotation can be slow, rotate |
| 216 | // each 32-bit half independently. |
| 217 | let lo = (x as u32).rotate_right(r); |
| 218 | let hi = ((x >> 32) as u32).rotate_right(r); |
| 219 | ((hi as u64) << 32) | lo as u64 |
| 220 | } |
| 221 | } |
| 222 | |
| 223 | /// Hashes strings >= 16 bytes, has unspecified behavior when bytes.len() < 16. |
| 224 | fn hash_bytes_medium(bytes: &[u8], mut s0: u64, mut s1: u64, fold_seed: u64) -> u64 { |
| 225 | // Process 32 bytes per iteration, 16 bytes from the start, 16 bytes from |
| 226 | // the end. On the last iteration these two chunks can overlap, but that is |
| 227 | // perfectly fine. |
| 228 | let left_to_right: ChunksExact<'_, u8> = bytes.chunks_exact(chunk_size:16); |
| 229 | let mut right_to_left: RChunksExact<'_, u8> = bytes.rchunks_exact(chunk_size:16); |
| 230 | for lo: &[u8] in left_to_right { |
| 231 | let hi: &[u8] = right_to_left.next().unwrap(); |
| 232 | let unconsumed_start: *const u8 = lo.as_ptr(); |
| 233 | let unconsumed_end: *const u8 = hi.as_ptr_range().end; |
| 234 | if unconsumed_start >= unconsumed_end { |
| 235 | break; |
| 236 | } |
| 237 | |
| 238 | let a: u64 = u64::from_ne_bytes(lo[0..8].try_into().unwrap()); |
| 239 | let b: u64 = u64::from_ne_bytes(lo[8..16].try_into().unwrap()); |
| 240 | let c: u64 = u64::from_ne_bytes(hi[0..8].try_into().unwrap()); |
| 241 | let d: u64 = u64::from_ne_bytes(hi[8..16].try_into().unwrap()); |
| 242 | s0 = folded_multiply(x:a ^ s0, y:c ^ fold_seed); |
| 243 | s1 = folded_multiply(x:b ^ s1, y:d ^ fold_seed); |
| 244 | } |
| 245 | |
| 246 | s0 ^ s1 |
| 247 | } |
| 248 | |
| 249 | /// Hashes strings >= 16 bytes, has unspecified behavior when bytes.len() < 16. |
| 250 | #[cold ] |
| 251 | #[inline (never)] |
| 252 | fn hash_bytes_long( |
| 253 | bytes: &[u8], |
| 254 | mut s0: u64, |
| 255 | mut s1: u64, |
| 256 | mut s2: u64, |
| 257 | mut s3: u64, |
| 258 | fold_seed: u64, |
| 259 | ) -> u64 { |
| 260 | let chunks = bytes.chunks_exact(64); |
| 261 | let remainder = chunks.remainder().len(); |
| 262 | for chunk in chunks { |
| 263 | let a = u64::from_ne_bytes(chunk[0..8].try_into().unwrap()); |
| 264 | let b = u64::from_ne_bytes(chunk[8..16].try_into().unwrap()); |
| 265 | let c = u64::from_ne_bytes(chunk[16..24].try_into().unwrap()); |
| 266 | let d = u64::from_ne_bytes(chunk[24..32].try_into().unwrap()); |
| 267 | let e = u64::from_ne_bytes(chunk[32..40].try_into().unwrap()); |
| 268 | let f = u64::from_ne_bytes(chunk[40..48].try_into().unwrap()); |
| 269 | let g = u64::from_ne_bytes(chunk[48..56].try_into().unwrap()); |
| 270 | let h = u64::from_ne_bytes(chunk[56..64].try_into().unwrap()); |
| 271 | s0 = folded_multiply(a ^ s0, e ^ fold_seed); |
| 272 | s1 = folded_multiply(b ^ s1, f ^ fold_seed); |
| 273 | s2 = folded_multiply(c ^ s2, g ^ fold_seed); |
| 274 | s3 = folded_multiply(d ^ s3, h ^ fold_seed); |
| 275 | } |
| 276 | s0 ^= s2; |
| 277 | s1 ^= s3; |
| 278 | |
| 279 | if remainder > 0 { |
| 280 | hash_bytes_medium(&bytes[bytes.len() - remainder.max(16)..], s0, s1, fold_seed) |
| 281 | } else { |
| 282 | s0 ^ s1 |
| 283 | } |
| 284 | } |
| 285 | |