摘要
数据库事务处理系统作为现代信息系统的核心组件，其并发控制与恢复机制对数据一致性和系统可靠性至关重要。随着信息技术的迅猛发展，多用户并发访问需求日益增长，传统并发控制方法面临诸多挑战。为此，本文深入研究了数据库事务处理系统中的并发控制与恢复机制，旨在解决高并发场景下的数据一致性问题并提高系统的容错能力。研究基于两阶段锁协议、乐观并发控制及多版本并发控制等经典理论，结合日志技术、检查点技术和影子分页等恢复策略，提出了一种融合多种并发控制机制优点的混合并发控制模型，并设计了相应的高效恢复算法。该模型通过动态调整并发控制策略，实现了在不同负载条件下性能与一致性的平衡；所提出的恢复算法能够在保证数据完整性的前提下，显著缩短系统恢复时间。实验结果表明，相较于现有方案，新模型在高并发环境下具有更好的吞吐量和响应时间表现，且在故障恢复方面展现出更高的效率。本研究不仅为数据库事务处理系统的优化提供了新的思路，还为相关领域的进一步探索奠定了理论基础。
关键词：数据库事务处理；并发控制；恢复机制
Abstract
Database transaction processing systems, as a core component of modern information systems, play a crucial role in ensuring data consistency and system reliability through their concurrency control and recovery mechanisms. With the rapid development of information technology and the increasing demand for multi-user concurrent access, traditional concurrency control methods face numerous challenges. This study delves into the concurrency control and recovery mechanisms within database transaction processing systems, aiming to address data consistency issues under high-concurrency scenarios and enhance the system's fault tolerance. Based on classical theories such as two-phase locking protocol, optimistic concurrency control, and multiversion concurrency control, combined with recovery strategies like logging, checkpointing, and shadow paging, this research proposes a hybrid concurrency control model that integrates the advantages of various concurrency control mechanisms. It also designs corresponding efficient recovery algorithms. The model achieves a balance between performance and consistency under different load conditions by dynamically adjusting concurrency control strategies. The proposed recovery algorithms significantly reduce system recovery time while ensuring data integrity. Experimental results demonstrate that, compared to existing solutions, the new model exhibits superior throughput and response time performance in high-concurrency environments and shows higher efficiency in fault recovery. This research not only provides new insights for optimizing database transaction processing systems but also lays a theoretical foundation for further exploration in related fields.
Keywords：Database Transaction Processing; Concurrency Control; Recovery Mechanism
目 录
摘要 I
Abstract II
一、绪论 1
(一) 数据库事务处理系统研究背景 1
(二) 并发控制与恢复机制的意义 1
(三) 国内外研究现状综述 2
(四) 本文研究方法与技术路线 2
二、并发控制机制原理与实现 2
(一) 并发控制的基本概念 3
(二) 锁机制及其优化策略 3
(三) 时间戳排序算法分析 4
(四) 多版本并发控制技术 5
三、恢复机制设计与实施 5
(一) 故障类型及影响分析 5
(二) 日志管理与记录策略 6
(三) 检查点机制的构建 6
(四) 恢复算法的设计原则 7
四、并发控制与恢复机制的协同优化 8
(一) 协同优化的目标与挑战 8
(二) 基于性能的优化策略 9
(三) 可靠性保障措施探讨 9
(四) 实验验证与结果分析 10
结 论 12
参考文献 13
数据库事务处理系统作为现代信息系统的核心组件，其并发控制与恢复机制对数据一致性和系统可靠性至关重要。随着信息技术的迅猛发展，多用户并发访问需求日益增长，传统并发控制方法面临诸多挑战。为此，本文深入研究了数据库事务处理系统中的并发控制与恢复机制，旨在解决高并发场景下的数据一致性问题并提高系统的容错能力。研究基于两阶段锁协议、乐观并发控制及多版本并发控制等经典理论，结合日志技术、检查点技术和影子分页等恢复策略，提出了一种融合多种并发控制机制优点的混合并发控制模型，并设计了相应的高效恢复算法。该模型通过动态调整并发控制策略，实现了在不同负载条件下性能与一致性的平衡；所提出的恢复算法能够在保证数据完整性的前提下，显著缩短系统恢复时间。实验结果表明，相较于现有方案，新模型在高并发环境下具有更好的吞吐量和响应时间表现，且在故障恢复方面展现出更高的效率。本研究不仅为数据库事务处理系统的优化提供了新的思路，还为相关领域的进一步探索奠定了理论基础。
关键词：数据库事务处理；并发控制；恢复机制
Abstract
Database transaction processing systems, as a core component of modern information systems, play a crucial role in ensuring data consistency and system reliability through their concurrency control and recovery mechanisms. With the rapid development of information technology and the increasing demand for multi-user concurrent access, traditional concurrency control methods face numerous challenges. This study delves into the concurrency control and recovery mechanisms within database transaction processing systems, aiming to address data consistency issues under high-concurrency scenarios and enhance the system's fault tolerance. Based on classical theories such as two-phase locking protocol, optimistic concurrency control, and multiversion concurrency control, combined with recovery strategies like logging, checkpointing, and shadow paging, this research proposes a hybrid concurrency control model that integrates the advantages of various concurrency control mechanisms. It also designs corresponding efficient recovery algorithms. The model achieves a balance between performance and consistency under different load conditions by dynamically adjusting concurrency control strategies. The proposed recovery algorithms significantly reduce system recovery time while ensuring data integrity. Experimental results demonstrate that, compared to existing solutions, the new model exhibits superior throughput and response time performance in high-concurrency environments and shows higher efficiency in fault recovery. This research not only provides new insights for optimizing database transaction processing systems but also lays a theoretical foundation for further exploration in related fields.
Keywords：Database Transaction Processing; Concurrency Control; Recovery Mechanism
目 录
摘要 I
Abstract II
一、绪论 1
(一) 数据库事务处理系统研究背景 1
(二) 并发控制与恢复机制的意义 1
(三) 国内外研究现状综述 2
(四) 本文研究方法与技术路线 2
二、并发控制机制原理与实现 2
(一) 并发控制的基本概念 3
(二) 锁机制及其优化策略 3
(三) 时间戳排序算法分析 4
(四) 多版本并发控制技术 5
三、恢复机制设计与实施 5
(一) 故障类型及影响分析 5
(二) 日志管理与记录策略 6
(三) 检查点机制的构建 6
(四) 恢复算法的设计原则 7
四、并发控制与恢复机制的协同优化 8
(一) 协同优化的目标与挑战 8
(二) 基于性能的优化策略 9
(三) 可靠性保障措施探讨 9
(四) 实验验证与结果分析 10
结 论 12
参考文献 13
