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.

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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
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article

Large-Scale Concurrency for MySQL Database Performance Analysis

Jiaqi Zhao, Min Li
1 citations
Cloud Computing and Resource Management
3.25
article

Large-Scale Concurrency for MySQL Database Performance Analysis

Jiaqi Zhao, Min Li
article en
1 citations

Abstract

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.

Tianjin University of Science and Technology (CN)
Openalex Percentile: Top 8%
Cloud Computing and Resource Management
3.25
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Large-Scale Concurrency for MySQL Database Performance Analysis — Jiaqi Zhao, Min Li · (2025) | TGRS Research Map | TGRS