首先声明一下,这篇文章是我的原创,但是,这些数据不是我总结出来的,大家可以搜索下“百度工程师HDK”,这些数据是他提供的,我只是给一个总结,因为他那篇文章很长,我这里提炼了几点要点。
要了解函数的性能,首先要知道函数的执行流程,它首先通过scanning被转化为语言片段(tokens),然后通过parsing为简单有意义的表达式,然后compile(编译)为Opcode,最后execute(执行)。因为PHP本身是用C去实现的,因此最终调用的都是C的函数,即PHP就是一个用C开发出来的软件。
在PHP中,用户通过PHP实现的自定义函数和内置函数有完全不同的实现机制,Zend在执行的时候,如果发现调用的是内置函数,只是做一个转发操作,内置函数在编译后会展开成一个zif_xxx的函数,而对于内置函数的操作,zend实现的是浅拷贝,其效率和C差不多,非常给力。如果是用户自定义的函数,则用户函数的调用最终是解析一堆的opcode。用户自定义空函数的执行速率大约是280w/s,即每秒可以执行二百八十万次,而内置函数则达到了780w/s,差不多是用户自定义函数的三倍。
不讲这些原理性的东西了,下面说一些测试结果把,函数名的长度对性能是有一些影响的,下面是他给出的数据:
通过上表,我们发现一个长度为1的函数和长度为16的空函数调用,性能会差一倍,原因何在,就是因为函数名越长,查询需要的时间就越多,因此,函数名还是尽量短一些。
这张图片是用户自定义的函数直接调用内置函数,只是单纯的测试两个函数的性能,很好理解把,不同类型的函数的执行效率差别很大的。
当然他本人还测试了一些PHP的一些函数的运行效率,我直接把这些东西过滤掉了,感觉并不特别有意义。

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python are both high-level programming languages that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.


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