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ABSTRACT
A nonrecursive system is any database system whose query language does not support recursive queries. Thus, many existing commerical SQL database systems are nonrecursive systems. Query optimization is an important issue for nonrecursive queries, and the magic-sets transformation has been shown to improve the performance of nonrecursive queries by many orders of magnitude [MFPR90]. It is thus important to use the magic-sets transformation in nonrecursive systems.
However, there is a problem. The magic-sets optimization can transform a nonrecursive query into a recursive query. Since a recursive query cannot be executed by a nonrecursive system, such a transformation is fatal. The magic-sets transformation cannot therefore be used in nonrecursive systems.
In this paper we present algorithms that achieve the optimization of the magic-sets transformation while guaranteeing that the transformed program will be nonrecursive whenever the original program is nonrecursive. The algorithms can be extended to the supplementary magic-sets transformation. We also define a new optimization technique for recursive and nonrecursive queries, covered subgoal elimination, that can eliminate subgoals from a rule, and can sometimes convert a recursive query into a nonrecursive one.
The algorithms presented in this paper are of practical relevance since they make it possible to incorporate the magic-sets transformation into existing commercial database systems.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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BR87
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GM92
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Ashish Gupta and Inderpa} Singh Mumick. Magic-sets transformation in non-recursive systems. Technical report, Stanford University, Stanford, CA 94305, USA, 1992. To be published.
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ISO90
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ISO_ANSI. Iso-ansi working draft: Database language sql2 and sql3; x3h2; iso/iec jtcl/sc21/wg3, 1990.
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MFPR90
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I. S. Mumick , S. J. Finkelstein , Hamid Pirahesh , Raghu Ramakrishnan, Magic is relevant, Proceedings of the 1990 ACM SIGMOD international conference on Management of data, p.247-258, May 23-26, 1990, Atlantic City, New Jersey, United States
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MPR90
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Mum91
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Inderpal Singh Mumick. Query Optimization in Deductive and Relational Databases. PhD thesis, Stanford University, Stanford, CA 94305, USA, December 1991.
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Nau86
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TS84
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H. Tamald and T. Sato. Unfold/fold transformations in logic programs. In S. A. Tarnhnd, editor, Proc. of #he Second International Con. ference on Logzc Programming, pages 127- 138, Uppsala, Sweden, 1984.
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Ull89
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