Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers.

Umeshwar Dayal: Of Nests and Trees: A Unified Approach to Processing Queries That Contain Nested Subqueries, Aggregates, and Quantifiers. VLDB 1987: 197-208

@inproceedings{DBLP:conf/vldb/Dayal87,
  author    = {Umeshwar Dayal},
  editor    = {Peter M. Stocker and
               William Kent and
               Peter Hammersley},
  title     = {Of Nests and Trees: A Unified Approach to Processing Queries
               That Contain Nested Subqueries, Aggregates, and Quantifiers},
  booktitle = {VLDB'87, Proceedings of 13th International Conference on Very
               Large Data Bases, September 1-4, 1987, Brighton, England},
  publisher = {Morgan Kaufmann},
  year      = {1987},
  isbn      = {0-934613-46-X},
  pages     = {197-208},
  ee        = {db/conf/vldb/Dayal87.html},
  crossref  = {DBLP:conf/vldb/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Existing query optimizers focus on Restrict-Project-Join queries. In practice, however, query languages such as SQL and DAPLEX have many powerful features (eg., control over duplicates, nested subqueries, grouping, aggregates, and quantifiers) that are not expressible as sequences of Restrict, Project, and Join operations. Existing optimizers are severely limited in their strategies for processing such queries; typically they use only tuple substitution, and process nested subquery blocks top down. Tuple substitution, however, is generally inefficient and especially so when the database is distributed. Hence, it is imperative to develop alternative strategies. This paper introduces new operations for these difficult features, and describes implementation methods for them. From the algebraic properties of these operations, new query processing tactics are derived. It is shown how these new tactics can be deployed to greatly increase the space of interesting strategies for optimization, without seriously altering the architecture of existing optimizers. The contribution of the paper is in demonstrating the feasibility and desirability of developing an integrated framework for optimizing all of SQL or other query languages that have similiar features.

Copyright © 1987 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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Peter M. Stocker, William Kent, Peter Hammersley (Eds.): VLDB'87, Proceedings of 13th International Conference on Very Large Data Bases, September 1-4, 1987, Brighton, England. Morgan Kaufmann 1987, ISBN 0-934613-46-X
Contents

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