• DocumentCode
    2885273
  • Title

    Algorithm choice for multiple-query evaluation

  • Author

    Kang, Myong H. ; Dietz, Henry G.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1990
  • fDate
    7-9 Mar 1990
  • Firstpage
    535
  • Abstract
    It is pointed out that traditional query optimization concentrates on the optimization of the execution of each individual query. More recently, it has been observed that by considering a sequence of multiple queries some additional high-level optimizations can be performed. Once these optimizations have been performed, each operation is translated into executable code. It is shown that significant improvements can be gained by careful choice of the algorithm to be used for each operation. This choice is not merely based on efficiency of algorithms for individual operations, but primarily on the efficiency of the algorithm choices for the entire multiple-query evaluation. An efficient procedure for automatically optimizing these algorithm choices is given
  • Keywords
    database management systems; information retrieval; algorithm choices; multiple-query evaluation; Anodes; Jamming; Partitioning algorithms; Query processing; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Databases, Parallel Architectures and Their Applications,. PARBASE-90, International Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    0-8186-2035-8
  • Type

    conf

  • DOI
    10.1109/PARBSE.1990.77202
  • Filename
    77202