hypertwobits

Crates.iohypertwobits
lib.rshypertwobits
version0.2.2
sourcesrc
created_at2024-08-09 11:52:33.764571
updated_at2024-08-19 10:19:31.123384
descriptionHyperTwoBits cardinality estimation algorithm
homepage
repositoryhttps://github.com/axiomhq/hypertwobits
max_upload_size
id1330762
size104,872
Heinz N. Gies (Licenser)

documentation

https://docs.rs/hypertwobits/

README

docs.rs Rust crates.io License

HyperTwoBits is a probabilistic data structure that estimates the number of distinct elements in a set. It has the same use case as HyperLogLog, but it uses less memory and is faster while achieving roughly similar accuracy. In numbers while HyperLogLog uses six bits per substream HyperTwoBits uses, as the name suggests, two bits

To illustrate Tabe 4 from the linked paper page 14:

HyperTwoBits P 14 Table 4

This implementation improves on the proposed algorithm in a few ways.

  • It holds the entire sketch in the stack without heap allocations.
  • It defaults to ahash for hashing, but you can use any hasher that implements std::hash::AHasherBuilder.
  • It uses traits to remove branches from the runtime execution.
  • It moves as much of the computation as possible into constants or compile-time evaluation.
  • It removes float comparisons in favor of integer operations. It uses 128-bit integers to take advantage of wide registers where possible.
  • It uses intrinsics to count ones instead of computing them over binary logic.
  • It changes the register layout for high/low bits in the scatch to colocate the memory for each region.
  • It adds micro batching functions that improve performance when two or four values can be provided at the same time.

Example

use hypertwobits::{HyperTwoBits, M512};
let mut htb = HyperTwoBits::<M512>::default();
htb.insert(&"foo");
htb.insert(&"bar");
htb.count();

Seeded Hash vs. Unseeded Hash

By default, HyperTwoBits uses ahash as the hasher. This hasher is not seeded with a random value by default. This means that the same input will always produce the same output.

Unlike HashMap's the attack surface this opens up is minimal. The only way to exploit this is to craft an input that would deliberately return imprecise results. This is a non-issue for most use cases.

However, we provide the AHasherBuilder that creates a random state that is used to seed the hasher. The tradeoff is that this will be slower, use more memory and means sketches can no longer be merged.

Benchmarks

Based on benchmarks it is about 2 times faster than HyperLogLogPlus and 1.5x faster than HyperBitBit or respectively 4x and 2.5x faster when used with non-seeded hashers.

Accuracy

The accuracy of HyperTwoBits is roughyly similar to HyperLogLog but significantly inferior to HyperLogLogPlus. A few measurements based on example inputs:

Shakespeare

Shakespeare

Ulysses

Ulysses

War and Peace

War and Peace

Commit count: 0

cargo fmt