• DocumentCode
    924759
  • Title

    Efficient indexing methods for temporal relations

  • Author

    Gunadhi, Himawan ; Segev, Arie

  • Author_Institution
    Walter A. Haas Sch. of Bus., California Univ., Berkeley, CA, USA
  • Volume
    5
  • Issue
    3
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    496
  • Lastpage
    509
  • Abstract
    The primary issues that affect the design of indexing methods are examined, and several structures and algorithms for specific cases are proposed. The append-only tree (AP-tree) structure indexes data for append-only databases to help event-join optimization and queries that can exploit the inherent time ordering of such databases. Two variable indexing for the surrogate and time is discussed. It is shown that a nested index could be a very efficient structure in this context and is preferable to a composite B-tree or an index that involves linear lists of historical tuples. The problems of indexing time intervals, as related to nonsurrogate joint-indexing, are discussed. Several algorithms to partition the time line are introduced. A two-variable AT index based on nested indexing is outlined
  • Keywords
    indexing; temporal databases; algorithms; append-only databases; append-only tree structure; event-join optimization; historical tuples; indexing methods; inherent time ordering; linear lists; nested index; structures; temporal relations; Algorithm design and analysis; Design methodology; Helium; History; Indexes; Indexing; Partitioning algorithms; Query processing; Relational databases; Research and development;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.224200
  • Filename
    224200