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| Field | Value |
| Title | Efficient and extensible algorithms for multi query optimization |
| Names |
ROY, P
(author) SESHADRI, S (author) SUDARSHAN, S (author) BHOBE, S (author) |
| Date Issued | 2000 (iso8601) |
| Abstract | Complex queries are becoming commonplace, with the growing use of decision support systems. These complex queries often have a lot of common sub-expressions, either within a single query, or across multiple such queries run as a batch. Multiquery optimization aims at exploiting common sub-expressions to reduce evaluation cost. Multi-query optimization has hither-to been viewed as impractical, since earlier algorithms were exhaustive, and explore a doubly exponential search space. In this paper we demonstrate that multi-query optimization using heuristics is practical, and provides significant benefits. We propose three cost-based heuristic algorithms: Volcano-SH and Volcano-RU, which are based on simple modifications to the Volcano search strategy and a greedy heuristic. Our greedy heuristic incorporates novel optimizations that improve efficiency greatly Our algorithms are designed to be easily added to existing optimizers. We present a performance study comparing the algorithms, using workloads consisting of queries from the TPC-D benchmark. The study shows that our algorithms provide significant benefits over traditional optimization, at a very acceptable overhead in optimization time. |
| Genre | Article; Proceedings Paper |
| Identifier | 0163-5808 |
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