• DocumentCode
    2848555
  • Title

    Increasing the accuracy and coverage of SQL progress indicators

  • Author

    Luo, Gang ; Naughton, Jeffrey F. ; Ellmann, Curt J. ; Watzke, Michael W.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
  • fYear
    2005
  • fDate
    5-8 April 2005
  • Firstpage
    853
  • Lastpage
    864
  • Abstract
    Recently, progress indicators have been proposed for long-running SQL queries in RDBMSs. Although the proposed techniques work well for a subset of SQL queries, they are preliminary in the sense that (1) they cannot provide non-trivial estimates for some SQL queries, and (2) the provided estimates can be rather imprecise in certain cases. In this paper, we consider the problem of supporting non-trivial progress indicators for a wider class of SQL queries with more precise estimates. We present a set of techniques in achieving this goal. We report an initial implementation of these techniques in PostgreSQL.
  • Keywords
    SQL; query processing; relational databases; PostgreSQL; RDBMS; SQL progress indicators; long-running SQL queries; nontrivial progress indicators; Cost function; Pipelines; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on
  • ISSN
    1084-4627
  • Print_ISBN
    0-7695-2285-8
  • Type

    conf

  • DOI
    10.1109/ICDE.2005.79
  • Filename
    1410198