License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2023.2
URN: urn:nbn:de:0030-drops-177446
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Navarro, Gonzalo

Compact Data Structures Meet Databases (Invited Talk)

LIPIcs-ICDT-2023-2.pdf (0.7 MB)


We describe two success stories on the application of compact data structures (cds) to solve the problem of the excessively redundant space requirements posed by worst-case-optimal (wco) algorithms for multijoins in databases, and particularly basic graph patterns on graph databases. The aim of cds is to represent the data and additional data structures on it, using total space close to that of the plain (and, sometimes, compressed) data, while efficiently simulating the data structure operations. Cds turn out to be a perfect approach for the described problem: We designed and implemented cds that effectively use space close to that of the plain or compressed data, which is orders of magnitude less than existing systems, while retaining worst-case optimality and performing competitively with those systems in query time, sometimes being even considerably faster.

BibTeX - Entry

  author =	{Navarro, Gonzalo},
  title =	{{Compact Data Structures Meet Databases}},
  booktitle =	{26th International Conference on Database Theory (ICDT 2023)},
  pages =	{2:1--2:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-270-9},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{255},
  editor =	{Geerts, Floris and Vandevoort, Brecht},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-177446},
  doi =		{10.4230/LIPIcs.ICDT.2023.2},
  annote =	{Keywords: succinct data structures, tries, multidimensional grids, text searching}

Keywords: succinct data structures, tries, multidimensional grids, text searching
Collection: 26th International Conference on Database Theory (ICDT 2023)
Issue Date: 2023
Date of publication: 17.03.2023

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