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2010•Computer EraRequires access

Optimization Method of Large Database Performance

Huang Ming-hui

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Abstract

Compared with a small database,the data in a large database have a qualitative mutation,and it is not easy for the system to achieve optimum performance.If a designed database model is not reasonable enough,it will not only increase the difficulty in programming and maintaining the client and server,but also affect the practical running performance of the system.The related techniques of optimizing database performance are analyzed and compared from the different stages of large database design and application,and some specific optimization methods are given.

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What this paper is about

Compared with a small database,the data in a large database have a qualitative mutation,and it is not easy for the system to achieve optimum performance.If a designed database model is not reasonable enough,it will not only increase the difficulty in programming and maintaining the client and server,but also affect the practical running performance of the system.The related techniques of optimizing database performance are analyzed and compared from the different stages of large database design and application,and some specific optimization methods are given.

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Available abstract

Compared with a small database,the data in a large database have a qualitative mutation,and it is not easy for the system to achieve optimum performance.If a designed database model is not reasonable enough,it will not only increase the difficulty in programming and maintaining the client and server,but also affect the practical running performance of the system.The related techniques of optimizing database performance are analyzed and compared from the different stages of large database design and application,and some specific optimization methods are given.

Key concepts: Computer science, Physical data model, Database testing, Database design, Database tuning, Database, Database server, Database schema

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