ACM Transactions on Database Systems (TODS)
Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Performance of a Composite Attribute and Join Index
IEEE Transactions on Software Engineering
Heuristics for Join Processing Using Nonclustered Indexes
IEEE Transactions on Software Engineering
Join processing in relational databases
ACM Computing Surveys (CSUR)
Efficient Scheduling of Page Access in Index-Based Join Processing
IEEE Transactions on Knowledge and Data Engineering
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One of the fundamental problems in relational database management is the handling of the join operation. Two of the problems are: (1) finding a page access sequence which requires the minimum number of buffer pages if there are no page reaccesses; and (2) finding a page access sequence which requires the minimum number of page reaccesses given a fixed buffer size, In general, a heuristic for the first problem can be converted to a corresponding heuristic to the second problem.In this paper, a new heuristic is proposed. The experimental results show that the new heuristic performs significantly better than existing heuristics for data which is modelled with geometric graphs, and no worse in others, for the first problem. It performs similarly better for the second problem if the fixed buffer size is not much less than the maximum buffer size generated in the first problem.