The performance impacts of different design patterns on the Java framework are as follows: Singleton pattern: The object creation speed is slightly improved. Factory pattern: Object creation overhead is high. Proxy mode: Method call times are affected. Observer Pattern: Excellent messaging performance.
Performance Impact Assessment of Design Patterns in Java Framework
Introduction
Design patterns are widely used In large-scale software development, to improve code readability, maintainability and security. However, the use of design patterns can also have an impact on performance. This article aims to evaluate the performance impact of different design patterns in Java frameworks and provide practical examples.
Experimental setup
We created multiple Java frameworks, such as Spring Boot and Quarkus, and implemented the following design patterns:
Benchmark
We use the JMH benchmark library Conduct benchmarks to measure the execution time of each design pattern under different scenarios. We tested the following scenarios:
##Practical case In the following practical cases, we compare the performance of different design patterns:
ResultsBenchmark results show that different design patterns have different impacts on performance:
Conclusion of practical caseIn the data service case, the singleton mode significantly improved the performance, while the proxy mode only brought a slight improvement. In the case of messaging, the Observer pattern is far superior to other design patterns.
ConclusionThe use of design patterns has a significant impact on the performance of Java frameworks. By carefully selecting and implementing appropriate design patterns, developers can optimize code performance and meet specific application needs.
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