摘 要
本研究针对数据库事务并发控制策略的性能进行了深入评估。随着数据量的激增和并发操作的日益频繁，有效的并发控制策略对于保障数据库系统的稳定性和性能至关重要。本研究旨在通过对比分析不同并发控制策略，揭示其在实际应用中的性能差异与优劣。为实现这一目标，我们选取了多种典型的并发控制策略，包括基于锁的机制和乐观并发控制等，并构建了相应的性能评估模型。通过模拟不同负载和并发场景，我们收集了大量实验数据，并运用统计分析方法对数据进行了细致处理。结果表明，在不同场景下，各并发控制策略的性能表现存在显著差异。具体而言，基于锁的机制在低并发场景下表现较好，但在高并发环境下性能下降明显；而乐观并发控制在处理高冲突事务时展现出更高的吞吐量和更低的延迟。
关键词：并发控制 性能评估 性能差异
Abstract
This study provides an intensive evaluation of the performance of concurrent control strategies for database transactions. With the surge of data volume and the increasing frequency of concurrent operations, an effective concurrent control strategy is crucial to guarantee the stability and performance of the database system. This study aims to reveal the performance differences and advantages and disadvantages in practical application by comparing and analyzing different concurrent control strategies. To achieve this goal, we selected a variety of typical concurrent control strategies, including lock-based mechanism and optimistic concurrency control, and constructed the corresponding performance evaluation model. By simulating different load and concurrent scenarios, we collected a large amount of experimental data, and carefully processed the data by using statistical analysis methods. The results show that the performance of the concurrent control strategies varies significantly in different scenarios. Specifically, lock-based mechanisms perform better in low-concurrency scenarios, but their performance declines significantly in high-concurrency environments; while Optimistic Concurrency Control exhibits higher throughput and lower latency when handling high-conflict transactions.
Keyword:concurrency control Performance evaluation Performance difference
目 录
1绪论 1
1.1研究背景和意义 1
1.2 研究现状 1
2数据库事务并发控制理论基础 2
2.1数据库事务的基本概念 2
2.2 并发控制的需求与挑战 2
2.3 并发控制策略的分类与特点 3
2.4 性能评估指标与方法 3
3并发控制策略的实现与分析 4
3.1基于锁的并发控制策略 4
3.2 基于时间戳的并发控制策略 4
3.3 多版本并发控制策略 5
3.4 乐观并发控制策略 5
4并发控制策略性能评估实验 6
4.1实验环境与数据集 6
4.2 实验设计与执行 6
4.3 实验结果与性能分析 6
4.4 策略选择与优化建议 7
5结论 7
参考文献 9
致谢 10
本研究针对数据库事务并发控制策略的性能进行了深入评估。随着数据量的激增和并发操作的日益频繁，有效的并发控制策略对于保障数据库系统的稳定性和性能至关重要。本研究旨在通过对比分析不同并发控制策略，揭示其在实际应用中的性能差异与优劣。为实现这一目标，我们选取了多种典型的并发控制策略，包括基于锁的机制和乐观并发控制等，并构建了相应的性能评估模型。通过模拟不同负载和并发场景，我们收集了大量实验数据，并运用统计分析方法对数据进行了细致处理。结果表明，在不同场景下，各并发控制策略的性能表现存在显著差异。具体而言，基于锁的机制在低并发场景下表现较好，但在高并发环境下性能下降明显；而乐观并发控制在处理高冲突事务时展现出更高的吞吐量和更低的延迟。
关键词：并发控制 性能评估 性能差异
Abstract
This study provides an intensive evaluation of the performance of concurrent control strategies for database transactions. With the surge of data volume and the increasing frequency of concurrent operations, an effective concurrent control strategy is crucial to guarantee the stability and performance of the database system. This study aims to reveal the performance differences and advantages and disadvantages in practical application by comparing and analyzing different concurrent control strategies. To achieve this goal, we selected a variety of typical concurrent control strategies, including lock-based mechanism and optimistic concurrency control, and constructed the corresponding performance evaluation model. By simulating different load and concurrent scenarios, we collected a large amount of experimental data, and carefully processed the data by using statistical analysis methods. The results show that the performance of the concurrent control strategies varies significantly in different scenarios. Specifically, lock-based mechanisms perform better in low-concurrency scenarios, but their performance declines significantly in high-concurrency environments; while Optimistic Concurrency Control exhibits higher throughput and lower latency when handling high-conflict transactions.
Keyword:concurrency control Performance evaluation Performance difference
目 录
1绪论 1
1.1研究背景和意义 1
1.2 研究现状 1
2数据库事务并发控制理论基础 2
2.1数据库事务的基本概念 2
2.2 并发控制的需求与挑战 2
2.3 并发控制策略的分类与特点 3
2.4 性能评估指标与方法 3
3并发控制策略的实现与分析 4
3.1基于锁的并发控制策略 4
3.2 基于时间戳的并发控制策略 4
3.3 多版本并发控制策略 5
3.4 乐观并发控制策略 5
4并发控制策略性能评估实验 6
4.1实验环境与数据集 6
4.2 实验设计与执行 6
4.3 实验结果与性能分析 6
4.4 策略选择与优化建议 7
5结论 7
参考文献 9
致谢 10
