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Performance Evaluation and Optimization of Queries in Multi Databases - Sambit Kumar Mishra - Bog

Performance Evaluation and Optimization of Queries in Multi Databasesaf Sambit Kumar Mishra
Bag om Performance Evaluation and Optimization of Queries in Multi Databases

Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer¿s plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783330079267
  • Indbinding:
  • Paperback
  • Sideantal:
  • 52
  • Udgivet:
  • 26. april 2017
  • Størrelse:
  • 150x4x220 mm.
  • Vægt:
  • 96 g.
  • 1-2 uger.
  • 15. januar 2025
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Forlænget returret til d. 31. januar 2025
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Beskrivelse af Performance Evaluation and Optimization of Queries in Multi Databases

Modern database systems use a query optimizer to identify query plan to execute declarative SQL queries. Optimization is a mandatory exercise since the difference between the cost of the best plan and a random choice could be in orders of magnitude. The role of query optimizers is especially critical for the decision-support queries featured in data warehousing and data mining applications. For a query on a given database and system configuration, the optimizer¿s plan choice is primarily a function of the selectivities of the base relations participating in the query. In this chapter, it has been projected towards the cost of sub-query operations on the various sites, as well as the benefits achieved in the range of thirty to forty percent for various sub-operations like selection, projection and join.

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