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Analytical Review of SQL Server Optimization

Author

Listed:
  • Gaurav Kumar

    (Department of Information Technology Panipat Institute of Engineering & Technology, Haryana, India)

  • Arun Sangwan

    (Department of Information Technology Panipat Institute of Engineering & Technology, Haryana, India:)

Abstract

It is a complex task to optimize query as well as to validate the correctness and effectiveness of query optimizer. A query optimizer should estimate and compare the costs of executing a query using different execution strategies and should choose the strategy with the lower cost estimate. To fairly and realistically compare different strategies accurate cost estimation is required. This is a challenging task to measure quality of query optimization as modern query optimizers provide more advanced optimization strategies and adaptive techniques. This paper describes different ways to improve the performance of SQL Server queries, index optimization with occasional references to particular SQL code and how to achieve the best performance for the given tables and queries by giving some tips for query optimization in Microsoft SQL Server. The paper provides a detailed overview of query optimization, Optimization techniques, testing of optimization techniques that are used to validate the query optimizer of Microsoft’s SQL Server and issues in query optimization testing.

Suggested Citation

  • Gaurav Kumar & Arun Sangwan, 2014. "Analytical Review of SQL Server Optimization," Review of Information Engineering and Applications, Conscientia Beam, vol. 1(2), pages 66-76.
  • Handle: RePEc:pkp:roieaa:2014:p:66-76
    DOI: 10.18488/journal.79/2014.1.2/79.2.66.76
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