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Efficient multiple assignment to database tables

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Hudnott, Elizabeth, Sinclair, Jane and Darwen, Hugh (2010) Efficient multiple assignment to database tables. In: 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, Univ Cambridge, Cambridge, England, February 20-22, 2010. Published in: Proceedings of the 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases pp. 286-291.

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Abstract

We investigate the problems involved in efficient implementation of the multiple assignment construct in Date and Darwen's Third Manifesto [5] and we explain the connection between assignment and INSERT, DELETE and UPDATE. Updating multiple tables using SQL places responsibility on the user to order the update statements correctly. Integrity constraints must either be preserved in the unnecessary intermediate states or else deferred. Multiple assignment accepts updates across the entire database simultaneously and makes the system responsible for scheduling them correctly. We outline implementation techniques that potentially permit multiple assignment to outperform SQL deferred constraint checking by employing parallelism and multi-query optimization.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Computer Science
Series Name: Artificial Intelligence Series-WSEAS
Journal or Publication Title: Proceedings of the 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Publisher: World Scientific and Engineering Academy and Society
ISBN: 978-960-474-154-0
Editor: Zadeh, LA and Kacprzyk, J and Mastorakis, N and KuriMorales, A and Borne, P and Kazovsky, L
Date: 2010
Number of Pages: 6
Page Range: pp. 286-291
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 9th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Type of Event: Conference
Location of Event: Univ Cambridge, Cambridge, England
Date(s) of Event: February 20-22, 2010
URI: http://wrap.warwick.ac.uk/id/eprint/6043

Data sourced from Thomson Reuters' Web of Knowledge

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