ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Heterogeneous Database Query Optimization in DB2 Universal DataJoiner.

Shivakumar Venkataraman, Tian Zhang: Heterogeneous Database Query Optimization in DB2 Universal DataJoiner. VLDB 1998: 685-689
@inproceedings{DBLP:conf/vldb/VenkataramanZ98,
  author    = {Shivakumar Venkataraman and
               Tian Zhang},
  editor    = {Ashish Gupta and
               Oded Shmueli and
               Jennifer Widom},
  title     = {Heterogeneous Database Query Optimization in DB2 Universal DataJoiner},
  booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
               Large Data Bases, August 24-27, 1998, New York City, New York,
               USA},
  publisher = {Morgan Kaufmann},
  year      = {1998},
  isbn      = {1-55860-566-5},
  pages     = {685-689},
  ee        = {db/conf/vldb/VenkataramanZ98.html},
  crossref  = {DBLP:conf/vldb/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

DataJoiner (DJ) is a heterogeneous database system that provides a single database image of multiple databases. It provides transparent access to tables at remote databases through user defined aliases (nicknames) that can be accessed as if they were local tables. DJ is also a fully functional relational database system. A couple of salient features of the DataJoiner query optimizer are: (1) A query submitted to DataJoiner is optimized using a cost model that takes into account the remote optimizer's capabilities in addition to the remote query processing capabilities and (2) If a remote database system lacks some functionality (eg: sorting), DataJoiner compensates for it. In this paper, we present the design of the DataJoiner query optimizer.

Copyright © 1998 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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Ashish Gupta, Oded Shmueli, Jennifer Widom (Eds.): VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA. Morgan Kaufmann 1998, ISBN 1-55860-566-5
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References

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Referenced by

  1. Zachary G. Ives, Daniela Florescu, Marc Friedman, Alon Y. Levy, Daniel S. Weld: An Adaptive Query Execution System for Data Integration. SIGMOD Conference 1999: 299-310
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