• DocumentCode
    3011326
  • Title

    Trends in automating physical database design

  • Author

    Zilio, Daniel C. ; Lightstone, Sam ; Lohman, Guy M.

  • Author_Institution
    IBM Canada Ltd., North York, Ont., Canada
  • fYear
    2003
  • fDate
    21-24 Aug. 2003
  • Firstpage
    441
  • Lastpage
    445
  • Abstract
    A database administrator (DBA) must make many decisions about what is the best decision for a database and its users - including what is the best physical DB design decision. The DBA must determine what auxiliary data structures to create - such as indexes and materialized views - as well as the optimal way to partition each table in a shared-nothing partitioned system, to maximize workload performance while minimizing any increase in disk space or maintenance costs. Given the number of possible configurations, the possible interactions between each choice, and the associated constraints on the decision, the problem of selecting an optimal design is daunting for even the most skilled DBA. It has long been recognized that DBAs need tools to help them make these complex decisions, but until recently little progress was made. We present our vision for the future of automating physical DB design, and contrast it with previous attempts at solving this problem.
  • Keywords
    automatic programming; data structures; database management systems; decision making; minimisation; query processing; data structure; database administrator; physical database design automation; shared-nothing partitioned system; workload performance maximisation; Computer industry; Cost function; Data structures; Databases; Hardware; Humans; Indexes; Material storage; Middleware; Portfolios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7803-8200-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2003.1300376
  • Filename
    1300376