Volume 26 Issue 2
Apr.  2009
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ZHANG Mao-zhen, TANG Xiao-ming, XIE Yang-sheng, DING Li-xia. Analysis of query efficiency of forest resources database system[J]. Journal of Zhejiang A&F University, 2009, 26(2): 149-154.
Citation: ZHANG Mao-zhen, TANG Xiao-ming, XIE Yang-sheng, DING Li-xia. Analysis of query efficiency of forest resources database system[J]. Journal of Zhejiang A&F University, 2009, 26(2): 149-154.

Analysis of query efficiency of forest resources database system

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  • Corresponding author: ZHANG Mao-zhen
  • Publish Date: 2009-04-20
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Analysis of query efficiency of forest resources database system

    Corresponding author: ZHANG Mao-zhen

Abstract: Analyzed the query characteristics and its efficiency on forest resources database system,proposed that all the queries on forest resources database can be divided into 4 types,and showed the key factors affecting the query efficiency for each type. It is evident that DBMS parameters,the logical and physical design of database,the SQL expression,and the application system design are all the key factors affecting the system efficiency. The optimization of forest resources database application system should give full consideration to the characteristics of each query type. The policy should be made according to their query characteristics by choosing different optimizing method from different angle of view. For the type of browsing queries through network,the query algorithm and the data organizing are most important for query optimization. For the type of query of statistics and the analyzing,the priority should be given to database tuning,using of middle table and cluster indexing etc.[Ch,3 fig. 4 tab. 14 ref.]

ZHANG Mao-zhen, TANG Xiao-ming, XIE Yang-sheng, DING Li-xia. Analysis of query efficiency of forest resources database system[J]. Journal of Zhejiang A&F University, 2009, 26(2): 149-154.
Citation: ZHANG Mao-zhen, TANG Xiao-ming, XIE Yang-sheng, DING Li-xia. Analysis of query efficiency of forest resources database system[J]. Journal of Zhejiang A&F University, 2009, 26(2): 149-154.

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