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Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14561

Authors: Jarke, Matthias
Issue Date: Jan-1984
Publisher: Stern School of Business, New York University
Series/Report no.: IS-84-46
Abstract: The simultaneous optimization of multiple queries submitted to a database system may lead to substantial savings over the current approach of optimizing each query separately. Isolating common subexpressions in multiple queries and treating their execution as a sharable resource are important prerequisites. This chapter presents techniques for recognizing, supporting, and exploiting common subexpressions in record-oriented, relational algebra, domain relational calculus, and tuple relational calculus query representations. It also investigates preconditions that transaction management mechanisms must satisfy to make multiple query optimization effective.
URI: http://hdl.handle.net/2451/14561
Appears in Collections:IOMS: Information Systems Working Papers

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