Query Optimization by Predicate Move-Around.

Alon Y. Levy, Inderpal Singh Mumick, Yehoshua Sagiv: Query Optimization by Predicate Move-Around. VLDB 1994: 96-107

@inproceedings{DBLP:conf/vldb/LevyMS94,
  author    = {Alon Y. Levy and
               Inderpal Singh Mumick and
               Yehoshua Sagiv},
  editor    = {Jorge B. Bocca and
               Matthias Jarke and
               Carlo Zaniolo},
  title     = {Query Optimization by Predicate Move-Around},
  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     = {96-107},
  ee        = {db/conf/vldb/vldb94-96.html},
  crossref  = {DBLP:conf/vldb/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

A new type of optimization, called Predicate Move-around, is introduced. It is shown how this optimization considerably improves the efficiency of evaluating SQL queries that have query graphs with a large number of query blocks (which is a typical situation when queries are defined in terms of multiple views and subqueries). Predicate move-around works by moving predicates across query blocks (in the query graph) that cannot be merged into one block. Predicate move-around is a generalization of and has many advantages over the traditional predicate pushdown. One key advantage arises from the fact that predicate move-around precedes pushdown by pulling predicates up the query graph. As a result, predicates that appear in the query in one part of the graph can be moved around the graph and applied also in other parts of graph. Moreover, predicate move-around optimization can move a wider class of predicates in a wider class of queries as compared to the standard predicate-pushdown techniques. In addition to the usual comparison and arithmetic predicates, other predicates that can be moved around are the EXISTS and NOT EXISTS clauses, the EXCEPT clause, and functional dependencies. The proposed optimization can also move predicates through aggregation. Moreover, the method can also infer new predicates when existing predicates are moved through aggregation or when certain functional dependencies are known to hold. Finally, the predicate move-around algorithm is easy to implement on top of existing query optimizers.

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
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