• DocumentCode
    2080607
  • Title

    Evaluating skylines in the presence of equijoins

  • Author

    Jin, Wen ; Morse, Michael D. ; Patel, Jignesh M. ; Ester, Martin ; Hu, Zengjian

  • Author_Institution
    Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2010
  • fDate
    1-6 March 2010
  • Firstpage
    249
  • Lastpage
    260
  • Abstract
    When a database system is extended with the skyline operator, it is important to determine the most efficient way to execute a skyline query across tables with join operations. This paper describes a framework for evaluating skylines in the presence of equijoins, including: (1) the development of algorithms to answer such queries over large input tables in a non-blocking, pipeline fashion, which significantly speeds up the entire query evaluation time. These algorithms are built on top of the traditional relational Nested-Loop and the Sort-Merge join algorithms, which allows easy implementation of these methods in existing relational systems; (2) a novel method for estimating the skyline selectivity of the joined table; (3) evaluation of skyline computation based on the estimation method and the proposed evaluation techniques; and (4) a systematic experimental evaluation to validate our skyline evaluation framework.
  • Keywords
    query processing; relational databases; database system; equijoins presence; estimation method; nested-loop join algorithms; relational systems; skyline computation; skyline evaluation; skyline query; skyline selectivity estimation; sort-merge join algorithms; Buildings; Costs; Database systems; Pipelines; Query processing; Recruitment; Remuneration; Statistical distributions; Visual databases; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2010 IEEE 26th International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-5445-7
  • Electronic_ISBN
    978-1-4244-5444-0
  • Type

    conf

  • DOI
    10.1109/ICDE.2010.5447841
  • Filename
    5447841