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Lempel–Ziv-78 Compressed String Dictionaries

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Abstract

String dictionaries store a collection \(\left( s_i\right) _{0\le i < m}\) of m variable-length keys (strings) over an alphabet \(\varSigma \) and support the operations lookup (given a string \(s\in \varSigma ^*\), decide if \(s_i=s\) for some i, and return this i) and access (given an integer \(0\le i < m\), return the string \(s_i\)). We show how to modify the Lempel–Ziv-78 data compression algorithm to store the strings space-efficiently and support the operations lookup and access in optimal time. Our approach is validated experimentally on dictionaries of up to 1.5 GB of uncompressed text. We achieve compression ratios often outperforming the existing alternatives, especially on dictionaries containing many repeated substrings. Our query times remain competitive.

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Notes

  1. Available at http://ls11-www.cs.uni-dortmund.de/_media/fischer/research/code-lz-csd.rar.

  2. The depiction of the PDT is simplified; a concrete implementation includes some technical details that are not required to understand the techniques described in this section.

  3. This is only theoretically interesting, as for our datasets no phrase exceeds a length of 127 characters.

  4. http://pizzachili.di.unipi.it.

  5. https://code.google.com/archive/p/tx-trie/.

  6. http://github.com/ot/path_decomposed_tries.

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Acknowledgements

Many people helped to improve this article in different ways. First, we thank Giuseppe Ottaviano for providing his data sets, and Francisco Claude and Miguel Ángel Martínez-Prieto for the source codes of their implementations. Second, we thank Paweł Gawrychowski for interesting discussions on this topic, and Giuseppe Ottaviano, Rossano Venturini, and Gonzalo Navarro for pointing out the work by Russo and Oliveira [31] during the Dagstuhl Seminar 13232 “Indexes and Computation over Compressed Structured Data” [24]. Gonzalo Navarro also brought Lemma 2.3 from Kosaraju and Manzini [22] to our attention. We further thank Simon Gog for bringing [36] to our attention, and the anonymous reviewers for their comments that helped to improve this article.

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Authors and Affiliations

  1. Department of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Julian Arz

  2. Department of Computer Science, TU Dortmund, Dortmund, Germany

    Johannes Fischer

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  1. Julian Arz
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  2. Johannes Fischer
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Correspondence to Johannes Fischer.

Additional information

A preliminary version of this paper was published at the 24th Data Compression Conference [4], and in the first author’s diploma thesis at KIT.

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Arz, J., Fischer, J. Lempel–Ziv-78 Compressed String Dictionaries. Algorithmica 80, 2012–2047 (2018). https://doi.org/10.1007/s00453-017-0348-7

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