• DocumentCode
    2121471
  • Title

    Materialized Views in the Presence of Reporting Functions

  • Author

    Habich, Dirk ; Lehner, Wolfgang ; Just, Michael

  • Author_Institution
    Database Technol. Group, Dresden Univ. of Technol.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    159
  • Lastpage
    168
  • Abstract
    Materialized views are a well-known optimization strategy with the potential for massive improvements in query processing time, especially for aggregation queries over large tables. To realize this potential, the query optimizer has to know how and when to exploit materialized views. Reporting functions represent a novel technique to formulate sequence-oriented queries in SQL. They provide a column-wise ordering, partitioning, and windowing mechanism for aggregation functions and therefore extend the well-known way of grouping and applying simple aggregation functions. Up to now, current work has not considered the frequently used reporting functions in data warehouse environments. In this paper, we introduce materialized reporting function views and show how to rewrite queries with reporting functions as well as aggregation queries to this new kind of materialized view. We demonstrate the efficiency of our approach with a large number of experiments
  • Keywords
    SQL; database management systems; query processing; SQL; aggregation query; column-wise ordering; column-wise partitioning; column-wise windowing; data warehouse environment; materialized view; query optimization; query processing; reporting function; sequence-oriented query; Conference management; Data warehouses; Database systems; Marine vehicles; Query processing; Runtime; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2006. 18th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1551-6393
  • Print_ISBN
    0-7695-2590-3
  • Type

    conf

  • DOI
    10.1109/SSDBM.2006.32
  • Filename
    1644310