A foundation for the replacement of pipelined physical join operators in adaptive query processing

Kwanchai Eurviriyanukul, Alvaro A A Fernandes, Norman W. Paton

    Research output: Chapter in Book/Conference proceedingConference contribution

    Abstract

    Adaptive query processors make decisions as to the most effective evaluation strategy for a query based on feedback received while the query is being evaluated. In essence, any of the decisions made by the optimizer (e.g., on operator order or on which operators to use) may be revisited in an adaptive query processor. This paper focuses on changes to physical operators (e.g., the specific join operators used, such as hash-join or merge-join) in pipelined query evaluators. In so doing, the paper characterizes the runtime properties of pipelined operators in a way that makes explicit when specific operators may be replaced, and that allows the validity of operator replacements to be proved. This is illustrated with reference to the substitution of join operators during their evaluation. © Springer-Verlag Berlin Heidelberg 2006.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages589-600
    Number of pages11
    Volume4254
    ISBN (Print)3540467882, 9783540467885
    DOIs
    Publication statusPublished - 2006
    Event10th International Conference on Extending Database Technology, EDBT 2006 - Munich
    Duration: 1 Jul 2006 → …

    Publication series

    NameLecture Notes in Computer Science

    Conference

    Conference10th International Conference on Extending Database Technology, EDBT 2006
    CityMunich
    Period1/07/06 → …

    Fingerprint

    Dive into the research topics of 'A foundation for the replacement of pipelined physical join operators in adaptive query processing'. Together they form a unique fingerprint.

    Cite this