Optimization and evaluation of disjunctive queries:

Abstract: "It is striking that the optimization of disjunctive queries -- i.e., those which contain at least one or-connective in the query predicate -- has been vastly neglected in the literature as well as in commercial systems. In this paper we propose a novel technique, called bypass proces...

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Format: Buch
Sprache:English
Veröffentlicht: Passau 1996
Schriftenreihe:Universität <Passau> / Fakultät für Mathematik und Informatik: MIP 1996,15
Schlagworte:
Zusammenfassung:Abstract: "It is striking that the optimization of disjunctive queries -- i.e., those which contain at least one or-connective in the query predicate -- has been vastly neglected in the literature as well as in commercial systems. In this paper we propose a novel technique, called bypass processing, for evaluating such disjunctive queries. The bypass processing technique is based on new selection and join operators that produce two output streams: the true-stream with tuples satisfying the selection (join) predicate and the false-stream with tuples not satisfying the corresponding predicate. Splitting the tuple streams in this way enables us to 'bypass' costly predicates whenever the 'fate' of the corresponding tuple (stream) can be determined without evaluating this predicate. In the paper we show how to systematically generate bypass evaluation plans utilizing a bottom-up building block approach. We show that our evaluation technique allows to incorporate the standard SQL semantics of null-values. For this we devise two different approaches: one is based on explicitly incorporating three-valued logic into the evaluation plans; the other one relies on two-valued logic by 'moving' all negations to atomic conditions of the selection predicate. We describe how to extend an iterator-based query engine to support bypass evaluation with little extra overhead. This query engine was used to quantitatively evaluate the bypass evaluation plans against the traditional evaluation techniques utilizing a CNF- or DNF-based query predicate."
Beschreibung:47, 4 S. graph. Darst.

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