hllpp

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HyperLogLog cardinality estimation algorithm in go/golang!

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# hllpp

[![Build Status](https://travis-ci.org/retailnext/hllpp.svg)](https://travis-ci.org/retailnext/hllpp) [![GoDoc](https://godoc.org/github.com/retailnext/hllpp?status.svg)](https://godoc.org/github.com/retailnext/hllpp)

hllpp is an implementation of the HyperLogLog++ cardinality estimation algorithm in go. It optimizes for memory usage over CPU usage. It implements all the HyperLogLog optimizations introduced in the HyperLogLog++ paper (http://goo.gl/Z5Sqgu). Some notable features include:

* marshaling so you can serialize to your datastore
* extra space savings by only using 5 bits per register when possible
* built-in non-streaming murmur3 implementation for fast hashing of input data

## Usage

h := hllpp.New()

h.Add([]byte("barclay"))
    h.Add([]byte("reginald"))
    h.Add([]byte("barclay"))
    h.Add([]byte("broccoli"))

fmt.Println(h.Count())
    // Output: 3

See the godocs for documentation and more examples.

### SEO

This package is a go or golang implementation of HyperLogLog or HyperLogLog++. It doesn't show up when you search for golang hyperloglog, so I am repeating the words golang hyperloglog in the README. golang hyperloglog.

hllpp

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