CardinalityEstimation

HyperLogLog-based set cardinality estimation library

This library estimates the number of unique elements in a set, in a quick and memory-efficient manner. It's based on the following:

1. Flajolet et al., "HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm", DMTCS proc. AH 2007, http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf
2. Heule, Nunkesser and Hall 2013, "HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm", http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/40671.pdf

The accuracy/memory usage are user-selectable. Typically, a cardinality estimator will give a perfect estimate of small cardinalities (up to 100 unique elements), and 97% accuracy or better (usually much better) for any cardinality up to near 2^64, while consuming several KB of memory (no more than 16KB).

Usage

Usage is very simple:

ICardinalityEstimator<string> estimator = new CardinalityEstimator();

estimator.Add("Alice");
estimator.Add("Bob");
estimator.Add("Alice");
estimator.Add("George Michael");

ulong numberOfuniqueElements = estimator.Count(); // will be 3

Nuget Package

This code is available as the Nuget package CardinalityEstimation. To install, run the following command in the Package Manager Console:

Install-Package CardinalityEstimation

Keeping things friendly

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.