• DocumentCode
    2704521
  • Title

    System issues in parallel sorting for database systems

  • Author

    Iyer, Balakrishna R. ; Dias, Daniel M.

  • Author_Institution
    IBM Santa Teresa Lab., San Jose, CA, USA
  • fYear
    1990
  • fDate
    5-9 Feb 1990
  • Firstpage
    246
  • Lastpage
    255
  • Abstract
    An external parallel merge-sort and sort-merge join on tightly coupled processors is considered. The issue of whether significant speedup can be achieved with good CPU efficiency is addressed. A pure sort query and a five-relation join query using a sort-merge-join algorithm are examined. It is found that the external sort is readily parallelizable. In the absence of skew, a speedup, linear in the number of tightly coupled processors can be obtained. However, it is shown that skew can reduce the speedup significantly. An examination is made of how important types of skew can be handled to yield close to linear speedup. The effect on the speedup and CPU efficiency of the database size, memory constraints, CPU MIPS, query selectivity, I/O striping and skew is shown
  • Keywords
    database management systems; information retrieval systems; merging; parallel programming; sorting; CPU MIPS; CPU efficiency; I/O striping; database size; database systems; external parallel merge-sort; five-relation join query; memory constraints; parallel sorting; parallelizable; pure sort query; query selectivity; skew; sort-merge join; speedup; system issues; tightly coupled processors; Cable TV; Database systems; Peak to average power ratio; Petroleum; Radio access networks; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1990. Proceedings. Sixth International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-8186-2025-0
  • Type

    conf

  • DOI
    10.1109/ICDE.1990.113475
  • Filename
    113475