Selection propagation in deductive databaes: from pushing selections to magic sets

Abstract: "This paper discusses the relationship between two optimization methods in deductive databases: the distribution of selections and the magic sets method. The former is a direct generalization of pushing selections in relational databases and the latter realizes a more general view of...

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Bibliographische Detailangaben
1. Verfasser: Miyazaki, Nobuyuki (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Tokyo, Japan 1990
Schriftenreihe:Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 538
Schlagworte:
Zusammenfassung:Abstract: "This paper discusses the relationship between two optimization methods in deductive databases: the distribution of selections and the magic sets method. The former is a direct generalization of pushing selections in relational databases and the latter realizes a more general view of selection propagation. Characteristics of the generalized form of the distribution of selections are discussed and compared to other methods. It is shown that the distribution of selections corresponds to one of the least effective variations of the magic sets method. It is also shown that both methods have essentially the same power for non-recursive queries
Hence, the magic sets method can be regarded as a natural generalization of pushing selections in relational databases.
Beschreibung:26 S.

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