初学者入门:细述PHP4的核心Zend
Zend引擎的名称由Zeev Suraski和Andi Gutmans二位在PHP担任核心开发工作的资深设计师的名字合体.开发的目的师为了研发新的脚本执行机制,而PHP4就是这套崭新的Zend引擎的第一个实作产品。在一些特殊测试环境下,Zend(PHP$)的执行速度比PHP3及ASP快了几倍到几百倍之多,这也意味着网站的后端CGI界面的统一者非PHP4 Zend莫属了。(当然,技术是不断进步的,说不定哪一天又出现了新的引擎。)
Zend引擎在研发二年多之后,已经变成类似VBA功能的广义程式环境,它不但有传统的PHP函数功能,更增加了分散式物件(COM)的功能,并且能够在不同的操作平台上执行。以这种潜力发展下去,VBA的终结者非Zend莫属。
Zend在PHP4上实作时更针对了PHP3之前最大缺憾的session做了最完整的承诺,同时加入了一些未来的功能,如CyberCash...等等。
在opensource社群中,唯一能保持声势,却又尚未被微软公司视为竞争对手的,PHP/Zend是最好的例子。它已经完全地将ASP丢到了身后,正往VBA的环境发展。而微软只全力对付Linux,没有注意到来自PHP/Zend的威胁。
Web服务器发觉是PHP的要求,需要PHP引擎解析(根据文件的扩展名),于是将它送到PHP4的Zend引擎上。
Zend引擎将文件从硬盘上读取,送到Zend线上编译器(Run-time Compiler),进行程序直译工作。(或许日后的Zend Compiler出来以后可以省略线上编译工作。)
Zend引擎的线上执行单元(Excutor)执行编译过的PHP程序。并在需要时找相关的模组执行协力动作(如XML,IMAP,ODBC...等等)。
Zend将执行后的结果整理成HTML文件,送给Web服务器。
Web服务器将结果通过网络,传回使用者的浏览器。
目前的Zend产品有下列四种:
Zend Engine:Zend引擎 Zend引擎目前只做出PHP4一种产品,提供类似微软的VBA及跨平台的功能。而目前在网络上的流行,也为Zend引擎作了最佳的见证。在Zend的四大产品中,这是目前唯一成熟的产品。
Zend Optimizer:Zend极限器 将PHP的核心重新调整,让PHP程序执行的效率更高。主要能加快PHP代码的执行速度及降低CPU的负担,将潜伏时间减少。
Zend Cache:Zend快取 将PHP程序快取到Web服务器的记忆体中,让系统不用再一直从硬盘读取PHP程序,可大幅度缩短系统的反应时间,降低网络的负荷。存在Cache的资料甚至可以不用再直译过,减少处理的资源。
Zend Compiler:Zend编译器 这恐怕是Zend的最终极武器,它可让PHP的程序代码经过编译后,以Zend中间码(ZIC,Zend Intermediate Code)的形式存在。
可以保护PHP的源代码,不让使用者看到,让PHP的源代码有安全保障。预料本产品出现之后,将对整个网络产生不小的影响,PHP码的物件库,将会到处可见,软件业也会提供相关的函数库或物件库给PHP编程者。届时,可能会有PHP大战Java的情形。

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

AI Hentai Generator
Generate AI Hentai for free.

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

Diffusion can not only imitate better, but also "create". The diffusion model (DiffusionModel) is an image generation model. Compared with the well-known algorithms such as GAN and VAE in the field of AI, the diffusion model takes a different approach. Its main idea is a process of first adding noise to the image and then gradually denoising it. How to denoise and restore the original image is the core part of the algorithm. The final algorithm is able to generate an image from a random noisy image. In recent years, the phenomenal growth of generative AI has enabled many exciting applications in text-to-image generation, video generation, and more. The basic principle behind these generative tools is the concept of diffusion, a special sampling mechanism that overcomes the limitations of previous methods.

Many Mac users tend to keep the default name of their device and may never consider changing it. Many people choose to stick with the name from the initial setup, such as "Johnny's MacBook Air" or simply "iMac." Learning how to change the name of your Mac is a very useful skill, especially when you have multiple devices, as it can help you quickly distinguish and manage them. Next, we will teach you step by step how to change the computer name, host name and Bonjour name (local host name) in macOS system. Why should you change your Mac name? Changing the name of your Mac can not only show your personality, but also help improve the user experience: Personalize your Mac: The default name may not be to your taste, change it to a name you like.

Kimi: In just one sentence, in just ten seconds, a PPT will be ready. PPT is so annoying! To hold a meeting, you need to have a PPT; to write a weekly report, you need to have a PPT; to make an investment, you need to show a PPT; even when you accuse someone of cheating, you have to send a PPT. College is more like studying a PPT major. You watch PPT in class and do PPT after class. Perhaps, when Dennis Austin invented PPT 37 years ago, he did not expect that one day PPT would become so widespread. Talking about our hard experience of making PPT brings tears to our eyes. "It took three months to make a PPT of more than 20 pages, and I revised it dozens of times. I felt like vomiting when I saw the PPT." "At my peak, I did five PPTs a day, and even my breathing was PPT." If you have an impromptu meeting, you should do it

In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn

Title: A must-read for technical beginners: Difficulty analysis of C language and Python, requiring specific code examples In today's digital age, programming technology has become an increasingly important ability. Whether you want to work in fields such as software development, data analysis, artificial intelligence, or just learn programming out of interest, choosing a suitable programming language is the first step. Among many programming languages, C language and Python are two widely used programming languages, each with its own characteristics. This article will analyze the difficulty levels of C language and Python

We know that LLM is trained on large-scale computer clusters using massive data. This site has introduced many methods and technologies used to assist and improve the LLM training process. Today, what we want to share is an article that goes deep into the underlying technology and introduces how to turn a bunch of "bare metals" without even an operating system into a computer cluster for training LLM. This article comes from Imbue, an AI startup that strives to achieve general intelligence by understanding how machines think. Of course, turning a bunch of "bare metal" without an operating system into a computer cluster for training LLM is not an easy process, full of exploration and trial and error, but Imbue finally successfully trained an LLM with 70 billion parameters. and in the process accumulate

Retrieval-augmented generation (RAG) is a technique that uses retrieval to boost language models. Specifically, before a language model generates an answer, it retrieves relevant information from an extensive document database and then uses this information to guide the generation process. This technology can greatly improve the accuracy and relevance of content, effectively alleviate the problem of hallucinations, increase the speed of knowledge update, and enhance the traceability of content generation. RAG is undoubtedly one of the most exciting areas of artificial intelligence research. For more details about RAG, please refer to the column article on this site "What are the new developments in RAG, which specializes in making up for the shortcomings of large models?" This review explains it clearly." But RAG is not perfect, and users often encounter some "pain points" when using it. Recently, NVIDIA’s advanced generative AI solution

Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. Video link: https://mp.weixin.qq.com/s/2hX_i7li3RqdE4u016yGhQ Recently, the life vlog of a girl living alone became popular on Xiaohongshu. An illustration-style animation, coupled with a few healing words, can be easily picked up in just a few days.
