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cuckoofilter's Introduction

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

Interface

A cuckoo filter supports following operations:

  • Add(key): insert key to the filter
  • Contain(key): return if key is already inserted, it may return false positive results like Bloom filters
  • Delete(key): delete the given key from the filter
  • Size(): return the total number of keys existing in the filter
  • SizeInBytes(): return the filter size in bytes

Repository structure

/src/               

the C++ implementation of cuckoo filter

/example/test.cc    

an example of using cuckoo filter. To build this example, simply type

$ make

Authors

Bin Fan [email protected]

David G. Andersen [email protected]

Michael Kaminsky [email protected]

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