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作者:

Memon, Muhammad Qasim (Memon, Muhammad Qasim.) | Jingsha, He (Jingsha, He.) (学者:何泾沙) | Aasma, memon.aasma2@gmail.com (Aasma, memon.aasma2@gmail.com.) | Ditta, Allah (Ditta, Allah.) | Rana, Khurram Gulzar (Rana, Khurram Gulzar.)

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EI

摘要:

Query optimization is a very complex task for commercial databases in case of performance issue that needs to be well known of entire structure of database. In desktop or web application at the back end, query processing aspires to be major factor for finding the better execution. We address the problem of SQL query optimization merely from the perspective of query response time in different databases invoked multiple queries are imparted in admission database management system, leveraging join and complex queries. Our proposed method adhering with respect to the underlying topics, to tune (Select, complex and join SQL) queries with optimized execution plan using PL/SQL features by incorporating database objects such as procedures, triggers and methods to improve query performance, instead amendment of query semantics which lessen time of developer or administrator to do manual tuning. 2016 SERSC.

关键词:

Semantics Query processing Database systems Query languages

作者机构:

  • [ 1 ] [Memon, Muhammad Qasim]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Memon, Muhammad Qasim]Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Jingsha, He]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Jingsha, He]Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Aasma, memon.aasma2@gmail.com]School of Economics and Management, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Ditta, Allah]School of Computer science, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Rana, Khurram Gulzar]School of Computer science, Beijing University of Technology, Beijing; 100124, China

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来源 :

International Journal of Database Theory and Application

ISSN: 2005-4270

年份: 2016

期: 10

卷: 9

页码: 351-362

被引次数:

WoS核心集被引频次: 0

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