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      Computing Queries on Linear Constraint Databases

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      Proceedings of the Fifth International Workshop on Database Programming Languages (DBPL-5)

      Database Programming Languages

      6-8 September 1995

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          Abstract

          We consider rational linear constraint databases, and study the problem of evaluating efficiently first-order queries with linear constraints. We show that although queries admit low data complexity (NC), their naive evaluation is rather ine cient. The computation paradigm is based on relational algebra and constraint solving. We focus on the former, and show that the query processing should differ drastically from classical relational databases. In particular, optimization strategies used for relational queries may be inadequate. We describe the problem and propose some preliminary optimization principles.

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          Author and article information

          Conference
          September 1995
          September 1995
          : 1-22
          Affiliations
          University of Toronto and INRIA
          L.R.I.- Université de Paris Sud and INRIA
          Article
          10.14236/ewic/DBPL1995.17
          © Zoé Lacroix et al. Published by BCS Learning and Development Ltd. Proceedings of the Fifth International Workshop on Database Programming Languages, Gubbio, Umbria, Italy

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Proceedings of the Fifth International Workshop on Database Programming Languages
          DBPL-5
          5
          Gubbio, Umbria, Italy
          6-8 September 1995
          Electronic Workshops in Computing (eWiC)
          Database Programming Languages
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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