Practical perfect hashing in nearly optimal space

  • Authors:
  • Fabiano C. Botelho;Rasmus Pagh;Nivio Ziviani

  • Affiliations:
  • Data Domain an EMC Company, Santa Clara, USA;IT University of Copenhagen, Denmark;Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil

  • Venue:
  • Information Systems
  • Year:
  • 2013

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Abstract

A hash function is a mapping from a key universe U to a range of integers, i.e., h:U@?{0,1,...,m-1}, where m is the range's size. A perfect hash function for some set S@?U is a hash function that is one-to-one on S, where m=|S|. A minimal perfect hash function for some set S@?U is a perfect hash function with a range of minimum size, i.e., m=|S|. This paper presents a construction for (minimal) perfect hash functions that combines theoretical analysis, practical performance, expected linear construction time and nearly optimal space consumption for the data structure. For n keys and m=n the space consumption ranges from 2.62n+o(n) to 3.3n+o(n) bits, and for m=1.23n it ranges from 1.95n+o(n) to 2.7n+o(n) bits. This is within a small constant factor from the theoretical lower bounds of 1.44n bits for m=n and 0.89n bits for m=1.23n. We combine several theoretical results into a practical solution that has turned perfect hashing into a very compact data structure to solve the membership problem when the key set S is static and known in advance. By taking into account the memory hierarchy we can construct (minimal) perfect hash functions for over a billion keys in 46min using a commodity PC. An open source implementation of the algorithms is available at http://cmph.sf.net under the GNU Lesser General Public License (LGPL).