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Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships.

Sven Helmer, Till Westmann, Guido Moerkotte: Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships. VLDB 1998: 98-109
@inproceedings{DBLP:conf/vldb/HelmerWM98,
  author    = {Sven Helmer and
               Till Westmann and
               Guido Moerkotte},
  editor    = {Ashish Gupta and
               Oded Shmueli and
               Jennifer Widom},
  title     = {Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships},
  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     = {98-109},
  ee        = {db/conf/vldb/HelmerWM98.html},
  crossref  = {DBLP:conf/vldb/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Time of creation is one of the predominant (often implicit) clustering strategies found not only in Data Warehouse systems: line items are created together with their corresponding order, objects are created together with their subparts and so on. The newly created data is then appended to the existing data. We present a new join algorithm, called Diag- Join, which exploits time-of-creation clustering. If we are able to take advantage of time- of-creation clustering, then theperformance evaluation reveals the superiority of Diag-Join over standard join algorithms like block-wise nested-loop join, GRACE hash join, and index nested-loop join. We also present an analytical cost model for Diag-Join.

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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Printed Edition

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
Contents BibTeX

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Referenced by

  1. Alfons Kemper: Review - Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships. ACM SIGMOD Digital Review 1: (1999)
  2. Alfons Kemper, Donald Kossmann, Christian Wiesner: Generalised Hash Teams for Join and Group-by. VLDB 1999: 30-41
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