Query Execution and Index Selection for Relational Data Bases.

Gilles Farley, Stewart A. Schuster: Query Execution and Index Selection for Relational Data Bases. VLDB 1975: 519

@inproceedings{DBLP:conf/vldb/FarleyS75,
  author    = {Gilles Farley and
               Stewart A. Schuster},
  editor    = {Douglas S. Kerr},
  title     = {Query Execution and Index Selection for Relational Data Bases},
  booktitle = {Proceedings of the International Conference on Very Large Data
               Bases, September 22-24, 1975, Framingham, Massachusetts, USA},
  publisher = {ACM},
  year      = {1975},
  pages     = {519},
  ee        = {db/conf/vldb/FarleyS75.html},
  crossref  = {DBLP:conf/vldb/75},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

An algorithm to evaluate primitive Boolean selections over single relations is presented. It will be argued that the algorithm is efficient with respect to the number of relational accesses and with respect to the merging of inverted lists. The algorithm's unique quality is its efficiency in evaluating selections over partially inverted relations. A simple cost function is used to drive the algorithm along the most efficient access paths. The cost function can also be used to predict its response time which then forms the basis of a procedure to suboptimize the selection of the domains tobe inverted. The domains to be inverted are selected by analyzing, with respect to their costs, a sample of queries. Such a method does away with usual methods of updating usage counters for every domain and relation in thesystem. In this approach, the selection of a good set of inverted lists is based on the algorithm which uses those lists.

Copyright © 1975 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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Douglas S. Kerr (Ed.): Proceedings of the International Conference on Very Large Data Bases, September 22-24, 1975, Framingham, Massachusetts, USA. ACM 1975
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References

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