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Range Nesting: A Fast Method to Evaluate Quantified Queries.

Matthias Jarke, Jürgen Koch: Range Nesting: A Fast Method to Evaluate Quantified Queries. SIGMOD Conference 1983: 196-206
@inproceedings{DBLP:conf/sigmod/JarkeK83,
  author    = {Matthias Jarke and
               J{\"u}rgen Koch},
  editor    = {David J. DeWitt and
               Georges Gardarin},
  title     = {Range Nesting: A Fast Method to Evaluate Quantified Queries},
  booktitle = {SIGMOD'83, Proceedings of Annual Meeting, San Jose, California,
               May 23-26, 1983},
  publisher = {ACM Press},
  year      = {1983},
  pages     = {196-206},
  ee        = {http://doi.acm.org/10.1145/582192.582225},
  crossref  = {DBLP:conf/sigmod/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Database queries explicitly containing existential and universal quantification become increasingly important in a number of areas such as integrity checking, interaction of databases and AI systems, heterogeneous databases, and statistical databases. Using a concept of range nesting in relational calculus expressions, the paper describes evaluation algorithms and transformation methods for an important class of quantified relational calculus queries called perfect expressions. This class includes well-known classes of "easy" queries such as tree queries (with free and existentially quantified variables only), and complacent (disconnected) queries.

Copyright © 1983 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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David J. DeWitt, Georges Gardarin (Eds.): SIGMOD'83, Proceedings of Annual Meeting, San Jose, California, May 23-26, 1983. ACM Press 1983 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML, SIGMOD Record 13(4)
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