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Query Processing Strategies in the PASCAL/R Relational Database Management System.

Matthias Jarke, Joachim W. Schmidt: Query Processing Strategies in the PASCAL/R Relational Database Management System. SIGMOD Conference 1982: 256-264
@inproceedings{DBLP:conf/sigmod/JarkeS82,
  author    = {Matthias Jarke and
               Joachim W. Schmidt},
  editor    = {Mario Schkolnick},
  title     = {Query Processing Strategies in the PASCAL/R Relational Database
               Management System},
  booktitle = {Proceedings of the 1982 ACM SIGMOD International Conference on
               Management of Data, Orlando, Florida, June 2-4, 1982},
  publisher = {ACM Press},
  year      = {1982},
  pages     = {256-264},
  ee        = {http://doi.acm.org/10.1145/582353.582402, db/conf/sigmod/JarkeS82.html},
  crossref  = {DBLP:conf/sigmod/82},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In the database language PASCAL/R, the programming language PASCAL and concepts based on the relational data model are integrated. The paper investigates transformation strategies used in the PASCAL/R system to evaluate queries with existential and universal quantifiers. Intermediate data structures are described using a high-level language tool called a reference to a selected variable. The predicate calculus approach used in PASCAL/R offers new insight into recently proposed query optimization techniques and allows some of them to be extended.

Copyright © 1982 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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Mario Schkolnick (Ed.): Proceedings of the 1982 ACM SIGMOD International Conference on Management of Data, Orlando, Florida, June 2-4, 1982. ACM Press 1982 BibTeX
Contents

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References

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Referenced by

  1. Andreas Gawecki, Florian Matthes: Exploiting Persistent Intermediate Code Representations in Open Database Environments. EDBT 1996: 403-423
  2. Rakesh Agrawal, H. V. Jagadish: Algorithms for Searching Massive Graphs. IEEE Trans. Knowl. Data Eng. 6(2): 225-238(1994)
  3. Mauro Negri, Giuseppe Pelagatti, Licia Sbattella: Formal Semantics of SQL Queries. ACM Trans. Database Syst. 16(3): 513-534(1991)
  4. John Sieg Jr., Edward Sciore: Extended Relations. ICDE 1990: 488-494
  5. François Bry: Towards an Efficient Evaluation of General Queries: Quantifier and Disjunction Processing Revisited. SIGMOD Conference 1989: 193-204
  6. Elisabetta Grazzini, Fabio Pippolini: A Strategy for Executing Complex Queries. MFDBS 1989: 207-221
  7. François Bry: Logical Rewritings for Improving the Evaluation of Quantified Queries. MFDBS 1989: 100-116
  8. Patrick Valduriez: Join Indices. ACM Trans. Database Syst. 12(2): 218-246(1987)
  9. Umeshwar Dayal: Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers. VLDB 1987: 197-208
  10. Fred J. Friedman, Arthur M. Keller, John Salasin, Gio Wiederhold, Murray R. Berkowitz, David L. Spooner: Reference Model for Ada Interfaces to Database Management Systems. ICDE 1986: 492-506
  11. Werner Kießling: On Semantic Reefs and Efficient Processing of Correlation Queries with Aggregates. VLDB 1985: 241-250
  12. Clement T. Yu, C. C. Chang: Distributed Query Processing. ACM Comput. Surv. 16(4): 399-433(1984)
  13. Matthias Jarke, Jürgen Koch: Query Optimization in Database Systems. ACM Comput. Surv. 16(2): 111-152(1984)
  14. Matthias Jarke, Jürgen Koch: Range Nesting: A Fast Method to Evaluate Quantified Queries. SIGMOD Conference 1983: 196-206
  15. Arvola Chan, Umeshwar Dayal, Stephen Fox, Nathan Goodman, Daniel R. Ries, Dale Skeen: Overview of an Ada Compatible Distributed Database Manager. SIGMOD Conference 1983: 228-237
  16. Umeshwar Dayal: Processing Queries with Quantifiers: A Horticultural Approach. PODS 1983: 125-136
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