Large-Scale Concurrency for MySQL Database Performance Analysis
In contemporary software development, database performance significantly influences the stability, scalability, and responsiveness of applications. With the growing complexity of application scenarios and the continuous rise in concurrent access, performance testing has become a crucial technical component for ensuring the efficient operation of databases. As a widely used relational database, optimizing the performance of MySQL is essential to meet high-load business requirements. This paper systematically explains how to use LoadRunner to evaluate the performance of MySQL databases from both theoretical and practical perspectives. The content covers the whole process from the formulation of test plans, the development and optimization of scripts, the design of test scenarios, to the execution of performance tests and the analysis of results, and analyzes the identification and optimization strategies of database performance bottlenecks in combination with actual cases. Through reasonable test design and scientific analysis methods, it aims to provide the development team with a set of operable and replicable database performance testing and optimization solutions to help improve the stability and overall performance of the database and provide strong support for the efficient operation of modern applications.
Authors
- Jiaqi Zhao (ORCID: https://orcid.org/0000-0003-4511-6050)
- Min Li (ORCID: https://orcid.org/0000-0003-1330-2326)
Institutions
- Tianjin University of Science and Technology (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icaace65325.2025.11020302
- Citations
- 1
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 3.25