李祥琴, 杨利. Oracle关系数据库的运行效率优化技术分析[J]. 微电子学与计算机, 2018, 35(10): 112-115.
引用本文: 李祥琴, 杨利. Oracle关系数据库的运行效率优化技术分析[J]. 微电子学与计算机, 2018, 35(10): 112-115.
LI Xiang-qin, YANG Li. Analysis on the Optimization Technology of Oracle Relational Data Base[J]. Microelectronics & Computer, 2018, 35(10): 112-115.
Citation: LI Xiang-qin, YANG Li. Analysis on the Optimization Technology of Oracle Relational Data Base[J]. Microelectronics & Computer, 2018, 35(10): 112-115.

Oracle关系数据库的运行效率优化技术分析

Analysis on the Optimization Technology of Oracle Relational Data Base

  • 摘要: 以Oracle关系数据库为研究对象, 对其运行效率性能进行优化分析.首先, 针对数据库主要部分SQL查询语句功能, 利用MathSQL语句调整思想.运用推理机将问题语句与知识库中语句进行比对, 并判断出SQL语句的性能问题; 其次, 利用蚂蚁寻优理论优化SQL语句查询功能, 根据用户查询需求设定人工蚂蚁寻优起点, 蚂蚁依据语句分布情况选择目标路径, 留下信息素并实现信息素更新处理, 使蚂蚁在移动过程中形成最短查询SQL语句路径, 从而达到优化数据库的目的.实验证明, 通过运用文中方法的优化调整提高了数据库运行效率.

     

    Abstract: Oracle relational database as the research object, the efficiency of performance optimization analysis. Firstly, the main part of SQL database query statement function, using the MathSQL statement to adjust the thought, the reasoning machine, knowledge base and rule base on database query function adjustment; based on the knowledge stored, a problem with the SQL statement. Applying the inference engine will ask The title statement is compared with the statement in the knowledge base, and the performance of the SQL statement is judged. Secondly, the ant optimization theory is used to optimize the query function of SQL statements, and the artificial ant optimization starting point is set according to the user's query requirements, and the ant selects the target path according to the distribution of the statement. Leave pheromone and realize pheromone update process, make ants form the shortest path of query SQL statement in the course of moving, so as to achieve the purpose of optimizing database. The efficiency of database operation is improved by optimizing and adjusting the method in this paper.

     

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