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DB2 Advisor: An Optimizer Smart Enough to Recommend its own Indexes
San Diego, California February 28-March 03
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2000.83939716th International Conference on Data ...
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Gary Valentin, IBM Toronto Lab
Michael Zuliani, IBM Toronto Lab
Daniel C. Zilio, IBM Toronto Lab
Guy Lohman, IBM Almaden Research Center
Alan Skelley, University of Toronto
This paper introduces the concept of letting an RDBMS Optimizer optimize its own environment. In our project, we have used the DB2 Optimizer to tackle the index selection problem, a variation of the knapack problem. This paper will discuss our implementation of index recommendation, the user interface, and provide measurements on the quality of the recommended indexes.
Index Terms:
Relational Database, Optimizer, Index Selection, Knapsack Algorithm, Auto-Tuning, Self-Tuning, Database Design, Wizard
Citation:
Gary Valentin, Michael Zuliani, Daniel C. Zilio, Guy Lohman, Alan Skelley, "DB2 Advisor: An Optimizer Smart Enough to Recommend its own Indexes," icde, pp.101, 16th International Conference on Data Engineering (ICDE'00), 2000
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