• DocumentCode
    2638019
  • Title

    Generalizing “search” in generalized search trees

  • Author

    Aoki, Paul M.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1998
  • fDate
    23-27 Feb 1998
  • Firstpage
    380
  • Lastpage
    389
  • Abstract
    The generalized search tree, or GiST, defines a framework of basic interfaces required to construct a hierarchical access method for database systems. As originally specified, GiST only supports record selection. We show how a small number of additional interfaces enable GiST to support a much larger class of operations. Members of this class, which includes, nearest-neighbor and ranked search, user-defined aggregation and index-assisted selectivity estimation, are increasingly common in new database applications. The advantages of implementing these operations in the GiST framework include reduction of user development effort and the ability to use industrial strength concurrency and recovery mechanisms provided by expert implementers
  • Keywords
    database theory; query processing; relational databases; tree data structures; tree searching; GiST; concurrency; database systems; generalized search trees; hierarchical access method; index-assisted selectivity estimation; interfaces; nearest neighbor search; ranked search; record selection; recovery mechanism; relational database; user development effort; user-defined aggregation; Access protocols; Computer interfaces; Concurrency control; Cost function; Database systems; Image databases; Marine vehicles; Multimedia databases; Optimization methods; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1998. Proceedings., 14th International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1063-6382
  • Print_ISBN
    0-8186-8289-2
  • Type

    conf

  • DOI
    10.1109/ICDE.1998.655801
  • Filename
    655801