• DocumentCode
    2010593
  • Title

    Aggregate-join query processing in parallel database systems

  • Author

    Taniar, D. ; Jiang, Y. ; Liu, K.H. ; Leung, C.H.C.

  • Author_Institution
    Dept. of Comput. Sci., R. Melbourne Inst. of Technol., Vic., Australia
  • Volume
    2
  • fYear
    2000
  • fDate
    14-17 May 2000
  • Firstpage
    824
  • Abstract
    Queries containing aggregate functions often combine multiple tables through join operations. We call these queries "aggregate-join" queries. In parallel processing of such queries, it must be decided which attribute to be used as a partitioning attribute, particularly join attribute or group-by attribute. Based on the partitioning attribute, we discuss three parallel aggregate-join query processing methods, namely: Join Partition Method (JPM), Aggregate Partition Method (APM), and Hybrid Partition Method (HPM). The JPM and APM models use the join attribute, and the group-by attribute, respectively, as the partitioning attribute. The HPM model combines the other two methods using a logically hybrid architecture.
  • Keywords
    parallel databases; query processing; relational algebra; APM; Aggregate Partition Method; HPM model; Hybrid Partition Method; JPM; Join Partition Method; aggregate functions; aggregate-join query processing; group-by attribute; join attribute; join operations; logically hybrid architecture; multiple tables; parallel aggregate-join query processing methods; parallel database systems; parallel processing; partitioning attribute;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7695-0589-2
  • Type

    conf

  • DOI
    10.1109/HPC.2000.843554
  • Filename
    843554