QeePHP与ThinkPHP性能测试报告
最近老是有人问这个问题，干脆做了个详细的测试。
测试的所有数据、过程、结果都是可以重现的。所以如果认为测试结果有问题，可以自己照着测试一遍。
先发第一部分：Hello,World测试
后续的视图渲染测试和简单数据库查询测试写完就发。
测试报告第一部分： QeePHP与ThinkPHP性能测试报告.zip (374.43 KB) （无需再下载这份报告，第二份已包含完整内容）
原始测试结果： tests-01.zip (11.58 KB)
QeePHP 测试程序源代码： qp01.zip (278.17 KB)
ThinkPHP 测试程序源代码： tp01.zip (311.81 KB)
更新：
第二部分视图渲染测试已经完成。
PS：由于昨晚测试时防病毒软件尚未卸载，所以今天对所有的测试全部重新进行了一次，各项结果有明显提高，看来 AV 真是性能杀手啊。
Hello,World 测试和视图渲染测试： QeePHP与ThinkPHP性能测试报告.zip (570.99 KB)
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1386
52
Performance comparison of different Java frameworks
Jun 05, 2024 pm 07:14 PM
Performance comparison of different Java frameworks: REST API request processing: Vert.x is the best, with a request rate of 2 times SpringBoot and 3 times Dropwizard. Database query: SpringBoot's HibernateORM is better than Vert.x and Dropwizard's ORM. Caching operations: Vert.x's Hazelcast client is superior to SpringBoot and Dropwizard's caching mechanisms. Suitable framework: Choose according to application requirements. Vert.x is suitable for high-performance web services, SpringBoot is suitable for data-intensive applications, and Dropwizard is suitable for microservice architecture.
PHP array key value flipping: Comparative performance analysis of different methods
May 03, 2024 pm 09:03 PM
The performance comparison of PHP array key value flipping methods shows that the array_flip() function performs better than the for loop in large arrays (more than 1 million elements) and takes less time. The for loop method of manually flipping key values takes a relatively long time.
How to optimize the performance of multi-threaded programs in C++?
Jun 05, 2024 pm 02:04 PM
Effective techniques for optimizing C++ multi-threaded performance include limiting the number of threads to avoid resource contention. Use lightweight mutex locks to reduce contention. Optimize the scope of the lock and minimize the waiting time. Use lock-free data structures to improve concurrency. Avoid busy waiting and notify threads of resource availability through events.
What are the differences between function testing and coverage in different languages?
Apr 27, 2024 am 11:30 AM
Functional testing verifies function functionality through black-box and white-box testing, while code coverage measures the portion of code covered by test cases. Different languages (such as Python and Java) have different testing frameworks, coverage tools and features. Practical cases show how to use Python's Unittest and Coverage and Java's JUnit and JaCoCo for function testing and coverage evaluation.
What is the performance impact of converting PHP arrays to objects?
Apr 30, 2024 am 08:39 AM
In PHP, the conversion of arrays to objects will have an impact on performance, mainly affected by factors such as array size, complexity, object class, etc. To optimize performance, consider using custom iterators, avoiding unnecessary conversions, batch converting arrays, and other techniques.
Performance comparison of Java frameworks
Jun 04, 2024 pm 03:56 PM
According to benchmarks, for small, high-performance applications, Quarkus (fast startup, low memory) or Micronaut (TechEmpower excellent) are ideal choices. SpringBoot is suitable for large, full-stack applications, but has slightly slower startup times and memory usage.
Performance comparison of C++ with other languages
Jun 01, 2024 pm 10:04 PM
When developing high-performance applications, C++ outperforms other languages, especially in micro-benchmarks. In macro benchmarks, the convenience and optimization mechanisms of other languages such as Java and C# may perform better. In practical cases, C++ performs well in image processing, numerical calculations and game development, and its direct control of memory management and hardware access brings obvious performance advantages.
The impact of inline functions on performance: a deeper look
Apr 28, 2024 pm 05:39 PM
Inline functions improve local execution speed by eliminating function call overhead, reducing the need for stack space and improving branch prediction, but excessive use may lead to code bloat and non-local effects.
