• DocumentCode
    2047103
  • Title

    SQL Query Optimization Methods of Relational Database System

  • Author

    Li, Dandan ; Han, Lu ; Ding, Yi

  • Author_Institution
    Dept. of Comput. Software, Beijing City Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    Oracle provides several options to aid performance, such as partitioning large tables, using materialized views, storing plan outlines, and many others. This chapter examines how DBAs can use these techniques to aid developers´ efforts to increase the efficiency of their application code. This chapter introduces the SQL Tuning Advisor to help you tune SQL statements. You can then use the recommendations of this advisor to rewrite poorly performing SQL code. I begin the chapter with a discussion of how to approach performance tuning. More than the specific performance improvement techniques you use, your approach to performance tuning determines your success in tuning a recalcitrant application system.
  • Keywords
    SQL; query processing; relational databases; tuning; DBA; SQL tuning advisor; large tables, partitioning; oracle; performance improvement techniques; query optimization methods; relational database system; Aggregates; Application software; Computer applications; Data engineering; Geography; Physics computing; Query processing; Relational databases; Software libraries; Software performance; Query optimization; Relational database; SQL Server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.113
  • Filename
    5445770