• DocumentCode
    1935362
  • Title

    Parallel SQL on Tandem´s NonStop SQL

  • Author

    Duppel, N.

  • Author_Institution
    Dept. of Comput. Sci., Stuttgart Univ., West Germany
  • fYear
    1989
  • fDate
    Feb. 27 1989-March 3 1989
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    A comparison is made of a number of different strategies for the concurrent execution of multiple SQL (structured query language) statements on a completely nonsharing multiprocessor system. The author gives some preliminary results in the form of heuristics derived from measurements on a Tandem system. The measurements indicate that in such an environment in most cases the single evaluation of common subexpressions offers no benefits over concurrent execution. Two heuristics have been identified for the evaluation of two frequent structures. It is shown that vertical partitioning performs better than horizontal partitioning of query trees, and that selections should be pushed down to common subtrees.<>
  • Keywords
    parallel processing; query languages; NonStop SQL; Tandem system; common subexpressions; common subtrees; concurrent execution; heuristics; horizontal partitioning; multiple SQL; multiple SQL statements; nonsharing multiprocessor system; query trees; selections; structured query language; vertical partitioning; Application software; Computer science; Concurrent computing; Deductive databases; Humans; Inference mechanisms; Performance evaluation; Relational databases; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    COMPCON Spring '89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, Digest of Papers.
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-8186-1909-0
  • Type

    conf

  • DOI
    10.1109/CMPCON.1989.301922
  • Filename
    301922