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Cuckoo Filter


Cuckoo filter is a Bloom filter replacement for approximated set-membership queries. While Bloom filters are well-known space-efficient data structures to serve queries like "if item x is in a set?", they do not support deletion. Their variances to enable deletion (like counting Bloom filters) usually require much more space.

Cuckoo filters provide the flexibility to add and remove items dynamically. A cuckoo filter is based on cuckoo hashing (and therefore named as cuckoo filter). It is essentially a cuckoo hash table storing each key's fingerprint. Cuckoo hash tables can be highly compact, thus a cuckoo filter could use less space than conventional Bloom filters, for applications that require low false positive rates (< 3%).

For details about the algorithm and citations please use this article for now

"Cuckoo Filter: Better Than Bloom" by Bin Fan, Dave Andersen and Michael Kaminsky

Implementation details

The paper cited above leaves several parameters to choose. In this implementation

  1. Every element has 2 possible bucket indices
  2. Buckets have a static size of 4 fingerprints
  3. Fingerprints have a static size of 8 bits

1 and 2 are suggested to be the optimum by the authors. The choice of 3 comes down to the desired false positive rate. Given a target false positive rate of r and a bucket size b, they suggest choosing the fingerprint size f using

f >= log2(2b/r) bits

With the 8 bit fingerprint size in this repository, you can expect r ~= 0.03. Other implementations use 16 bit, which correspond to a false positive rate of r ~= 0.0001.

Example usage:

package main

import "fmt"
import cuckoo ""

func main() {
  cf := cuckoo.NewFilter(1000)
  cf.InsertUnique([]byte("geeky ogre"))

  // Lookup a string (and it a miss) if it exists in the cuckoofilter

  count := cf.Count()
  fmt.Println(count) // count == 1

  // Delete a string (and it a miss)

  count = cf.Count()
  fmt.Println(count) // count == 1

  // Delete a string (a hit)
  cf.Delete([]byte("geeky ogre"))

  count = cf.Count()
  fmt.Println(count) // count == 0
  cf.Reset()    // reset


"Cuckoo Filter on GoDoc"


Cuckoo Filter: Practically Better Than Bloom







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