数据库系统性能优化的关键技术研究——基于缓存设计理念与查询优化技术  

Research on Key Technologies for Database System Performance Optimization——Based on Cache Design Philosophy and Query Optimization Techniques

作　　者：李虎 赵倩 高磊 Li Hu;Zhao Qian;Gao Lei(Information Technology Service Center,Shengli Petroleum Administration Co.,Ltd.,Dongying 257091,Shandong Province,China)

机构地区：[1]胜利石油管理局有限公司信息化技术服务中心,山东东营257091

出　　处：《科学与信息化》2025年第2期70-72,共3页Technology and Information

摘　　要：文章旨在探索数据库系统性能优化的关键技术,特别是缓存设计理念与查询优化技术。内容围绕缓存优化、内存优化以及高效查询算法,详细分析了顺序查询、B-树查询和Hash查询算法的实现与优化。研究结果表明,通过优化缓存配置和内存管理,可以有效提升数据库系统的数据访问和处理速度;同时,精心设计的查询算法能够显著提高查询效率和系统响应速度。这一研究为未来数据库技术的发展方向提供了理论基础和技术预见。This paper aims to explore the key technologies for database system performance optimization,particularly focusing on cache design philosophy and query optimization techniques.The content revolves around cache optimization,memory optimization,and efficient query algorithms,providing a detailed analysis of the implementation and optimization of sequential query,B-tree query,and Hash query algorithms.The research results indicate that optimizing cache configuration and memory management can effectively enhance the data access and processing speed of database systems.Moreover,well-designed query algorithms can significantly improve query efficiency and system response speed.This study provides a theoretical foundation and technical foresight for the future development direction of database technologies.

关 键 词：数据路系统 性能优化 缓存优化 查询优化 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]