• DocumentCode
    3324499
  • Title

    Adjoined Dimension Column Clustering to Improve Data Warehouse Query Performance

  • Author

    Chen, Xuedong ; Neil, Patrick O. ; Neil, Elizabeth O.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts Boston, Boston, MA
  • fYear
    2008
  • fDate
    7-12 April 2008
  • Firstpage
    1409
  • Lastpage
    1411
  • Abstract
    Columns of dimension tables that are frequently restricted in queries on a star schema database are materialized into the fact table by various means, depending on database product features. This makes it possible to create a multidimensional partitioning on the fact table, so that many queries restricting columns in hierarchies of the columns materialized will retrieve only a small number of cells of a rectangular subset of the partitioning. We believe this approach to be a previously undiscovered, though seemingly obvious, method to accelerate query performance.
  • Keywords
    data warehouses; query processing; data warehouse; dimension column clustering; dimension tables; multidimensional partitioning; query performance; schema database; Acceleration; Computer science; Concatenated codes; Costs; Data warehouses; Filters; Information retrieval; Marketing and sales; Multidimensional systems; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-1836-7
  • Electronic_ISBN
    978-1-4244-1837-4
  • Type

    conf

  • DOI
    10.1109/ICDE.2008.4497572
  • Filename
    4497572