The GMAP: A Versatile Tool for Physical Data Independence.

Odysseas G. Tsatalos, Marvin H. Solomon, Yannis E. Ioannidis: The GMAP: A Versatile Tool for Physical Data Independence. VLDB 1994: 367-378

@inproceedings{DBLP:conf/vldb/TsatalosSI94,
  author    = {Odysseas G. Tsatalos and
               Marvin H. Solomon and
               Yannis E. Ioannidis},
  editor    = {Jorge B. Bocca and
               Matthias Jarke and
               Carlo Zaniolo},
  title     = {The GMAP: A Versatile Tool for Physical Data Independence},
  booktitle = {VLDB'94, Proceedings of 20th International Conference on Very
               Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile},
  publisher = {Morgan Kaufmann},
  year      = {1994},
  isbn      = {1-55860-153-8},
  pages     = {367-378},
  ee        = {db/conf/vldb/vldb94-367.html},
  crossref  = {DBLP:conf/vldb/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Physical data independence is touted as a central feature of modern database systems. Both relational and object-oriented systems, however, force users to frame their queries in terms of a logical schema that is directly tied to physical structures. Our approach eliminates this dependence. All storage structures are defined in a declarative language based on relational algebra as functions of a logical schema. We present an algorithm, integrated with a conventional query optimizer, that translates queries over this logical schema into plans that access the storage structures. We also show how to compile update requests into plans that update all relevant storage structures consistently and optimally. Finally, we report on experiments with a prototype implementation of our approach that demonstrate how it allows storage structures to be tuned to the expected or observed workload to achieve significantly better performance than is possible with conventional techniques.

Copyright © 1994 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

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Jorge B. Bocca, Matthias Jarke, Carlo Zaniolo (Eds.): VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile. Morgan Kaufmann 1994, ISBN 1-55860-153-8
Contents

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