Session Query Optimization in Relational Database Systems

Ke Qiu
WPI Computer Science Department
Encore Computer Corporation

Friday, October 20, 1995
11 a.m.- 12 noon
Fuller Labs 311

PhD Dissertation Proposal Presentation

Efficient query evaluation techniques in relational database systems are very important to provide acceptable performance in large databases. In this talk, we will present a new approach for query optimization in query intensive applications such as decision support systems (DSS), data mining, online analytical processing (OLAP), and scientific databases. The basic idea of this approach is query caching. An auxiliary database is constructed as queries are processed by the DBMS. This auxiliary database, also called query cache, will store the results and/or the intermediate results of the queries processed, which can be used to process later queries. The merit of query caching lies in the fact that query processing can be speeded up if the access of the main database can be avoided by using cached results.

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