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Ranked Enumeration of Conjunctive Query Results

Authors Shaleen Deep, Paraschos Koutris

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Shaleen Deep
  • Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
Paraschos Koutris
  • Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA

Funding

This research was supported in part by National Science Foundation grants CRII-1850348 and III-1910014.

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Shaleen Deep and Paraschos Koutris. Ranked Enumeration of Conjunctive Query Results. In 24th International Conference on Database Theory (ICDT 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 186, pp. 5:1-5:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.ICDT.2021.5

Abstract

We study the problem of enumerating answers of Conjunctive Queries ranked according to a given ranking function. Our main contribution is a novel algorithm with small preprocessing time, logarithmic delay, and non-trivial space usage during execution. To allow for efficient enumeration, we exploit certain properties of ranking functions that frequently occur in practice. To this end, we introduce the notions of decomposable and compatible (w.r.t. a query decomposition) ranking functions, which allow for partial aggregation of tuple scores in order to efficiently enumerate the output. We complement the algorithmic results with lower bounds that justify why restrictions on the structure of ranking functions are necessary. Our results extend and improve upon a long line of work that has studied ranked enumeration from both a theoretical and practical perspective.

Subject Classification

ACM Subject Classification
  • Theory of computation → Database theory
Keywords
  • Query result enumeration
  • joins
  • ranking

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