• DocumentCode
    1986963
  • Title

    Materialization and incremental update of path information

  • Author

    Agrawal, Rakesh ; Jagadish, H.V.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1989
  • fDate
    6-10 Feb 1989
  • Firstpage
    374
  • Lastpage
    383
  • Abstract
    The problem of efficiently processing recursive path queries in deductive database systems is discussed, and a semimaterialized encoding structure is proposed as an attractive approach that provides a balance between efficiency of retrieval and feasibility of storage. Incremental algorithms are presented that enable the effects of updates to the underlying database to be reflected in the materialized information. Performance simulations indicate that these techniques can significantly speed up the processing of path queries at an acceptable level of storage overhead
  • Keywords
    database theory; relational databases; deductive database systems; incremental update; materialized information; path information; path queries; recursive path queries; semimaterialized encoding structure; storage overhead; updates; Algebra; Bills of materials; Database systems; Deductive databases; Encoding; Information retrieval; Material storage; Materials reliability; Query processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1989. Proceedings. Fifth International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-8186-1915-5
  • Type

    conf

  • DOI
    10.1109/ICDE.1989.47238
  • Filename
    47238