HLL


NameHLL JSON
Version 2.0.3 PyPI version JSON
download
home_pagehttps://github.com/ascv/HyperLogLog
SummaryHyperLogLog implementation in C for python.
upload_time2022-07-27 03:57:08
maintainer
docs_urlNone
authorJoshua Andersen
requires_python
licenseMIT
keywords hyperloglog hyper loglog hyper log log loglog log log cardinality counting sketch
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            The HyperLogLog algorithm [1] is a space efficient method to estimate the
cardinality of extraordinarily large data sets. This library implements a 64
bit variant [2] written in C that uses a MurmurHash64A hash function.

[1] Flajolet, Philippe; Fusy, Eric; Gandouet, Olivier; Meunier, Frederic
(2007). "Hyperloglog: The analysis of a near-optimal cardinality estimation
algorithm" (PDF). Disc. Math. and Theor. Comp. Sci. Proceedings. AH: 127146.
CiteSeerX 10.1.1.76.4286.

[2] Omar Ertl, "New cardinality estimation algorithms for HyperLogLog Sketches"
arXiv:1702.01284 [cs] Feb. 2017.
            

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