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DB2 Advisor: An Optimizer Smart Enough to Recommend Its Own Indexes


G. Valentin, M. Zuliani, D. Zilio, G. Lohman, and A. Skelley

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Abstract


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. Keywords: Relational Database, Optimizer, Index Selection, Knapsack Algorithm, Auto-Tuning, Self-Tuning, Database Design, Wizard



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