Improvements on a heuristic algorithm for multiple-query optimization

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Multiple-query processing has received a lot of attention recently. The problem arises in many areas, such as extended relational database systems and deductive database systems. In this paper we describe a heuristic search algorithm for this problem. This algorithm uses an improved heuristic function that enables it to expand only a small fraction of the nodes expanded by an algorithm that has been proposed in the past. In addition, it handles implied relationships without increasing the size of the search space or the number of nodes generated in this space. We include both theoretical analysis and experimental results to demonstrate the utility of the algorithm.

论文关键词:Multiple query optimization,Relational databases,Heuristic algorithms,Algorithm complexity

论文评审过程:Available online 12 February 2003.

论文官网地址:https://doi.org/10.1016/0169-023X(94)90014-0