• DocumentCode
    3316792
  • Title

    Data compression and database performance

  • Author

    Graefe, Goetz ; Shapiro, Leonard D.

  • Author_Institution
    Colorado Univ., Boulder, CO, USA
  • fYear
    1991
  • fDate
    3-5 Apr 1991
  • Firstpage
    22
  • Lastpage
    27
  • Abstract
    Data compression is widely used in data management to save storage space and network bandwidth. The authors outline the performance improvements that can be achieved by exploiting data compression in query processing. The novel idea is to leave data in compressed state as long as possible, and to only uncompress data when absolutely necessary. They show that many query processing algorithms can manipulate compressed data just as well as decompressed data, and that processing compressed data can speed query processing by a factor much larger than the compression factor
  • Keywords
    data compression; database management systems; performance evaluation; compressed data; data compression; data management; database performance; decompressed data; network bandwidth; query processing algorithms; storage space; Bandwidth; Bit rate; Data compression; Database systems; Encoding; Frequency; Performance analysis; Query processing; Relational databases; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computing, 1991., [Proceedings of the 1991] Symposium on
  • Conference_Location
    Kansas City, MO
  • Print_ISBN
    0-8186-2136-2
  • Type

    conf

  • DOI
    10.1109/SOAC.1991.143840
  • Filename
    143840