燃料信息數(shù)據(jù)庫性能的優(yōu)化方法研究
[Abstract]:Database technology is the core of computer data processing and information management system. With the continuous expansion of the field and scale of database use, the performance of database system becomes more and more serious. It is a great challenge to ensure the normal and efficient operation of database application system. Therefore, the research of database performance optimization is of great significance to improve the efficiency of application system. After analyzing the research status of database performance optimization at home and abroad, two kinds of database performance adjustment and optimization schemes are put forward in view of the possible performance problems in the long run of fuel information system. The first scheme is to adjust the memory parameters of the database. By analyzing the access mode of the database and the effect of the cache on the execution of SQL statements, the memory parameters that need to be adjusted are selected, and the mathematical model of the memory parameters and the performance of the database is established. By using quadratic curve fitting and greedy algorithm, the optimal value of each parameter is obtained in turn, and the global optimum is solved by local optimization. The second scheme is to partition tables that may need partitioning. According to the storage characteristics of data in the table, the partitioning method is selected. According to the structure of the table and the query characteristics on the table, the table partitioning strategy can improve the performance of the database. And through the program to achieve the partition of the table. A database performance monitoring system is designed and implemented. Four kinds of database performance information are displayed in the form of broken line graph. The adjustment of database memory parameters is supported by graphical interface, and the program is used to model and solve the local optimal memory parameters. The system implements table partitioning, supports batch table partitioning operations, and recommends all tables suitable for partitioning according to the partitioning policy.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TP311.13
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