Data caching is a commonly used performance optimization method in web development. At present, there are two main forms of file caching or database caching. Database caching is not impossible, and it is indeed very good and important. I think traditional databases are mainly considered from the business layer, module design, etc., while cache databases are mainly designed from the implementation layer, mainly to cache commonly used multi-table queries. The main thing here is file caching. There is a lot of information on the Internet. Here I have reproduced some principle information.
Cache is a typical application mode of the "space for time" strategy and an important method to improve system performance. The use of cache can greatly reduce the number of database operations in the case of large access volumes, significantly reducing system load and improving system performance. Compared with page caching, the result set is a kind of "raw data" that does not contain format information. The amount of data is relatively small and can be formatted again, so it is quite flexible. Since PHP is a scripting language that "compiles and executes at the same time", it also provides a very convenient method of using result set caching to a certain extent - using the cache by dynamically including the corresponding data definition code segment. If a cache is built on "RamDisk", the efficiency should be further improved. Below is a small sample code for reference.
<span><br><span> <br></span><span>// load data with cache <br></span><span>function </span><span>load_data</span><span>(</span><span>$id</span><span>,</span><span>$cache_lifetime </span><span>) { <br></span><span>// the return data <br></span><span>$data </span><span>= array(); <br></span><span>// make cache filename <br></span><span>$cache_filename </span><span>= </span><span>'cache_'</span><span>.</span><span>$id </span><span>.</span><span>'</span><span>. </span><span>php'</span><span>; <br></span><span>// check cache file's last modify time <br></span><span>$cache_filetime </span><span>= </span><span>filemtime</span><span>(</span><span>$cache_filename</span> <span>); <br>if (</span><span>time</span><span> () - </span><span>$cache_filetime </span><span><span>$cache_lifetime</span><span>) { <br></span><span>//** the cache is not expire <br></span><span>include(</span><span>$cache_filename</span> <span>); <br>} else { <br> </span><span>//** the cache is expired <br>// load data from database <br>// ... <br></span><span>while (</span><span>$dbo</span><span>-></span><span>nextRecord</span><span>()) { <br> </span><span>/ / $data[] = ... <br></span><span>} <br></span><span>// format the data as a php file <br></span><span>$data_cache </span><span>= </span><span>" <br>while (list($key, $val) = each( $data)) { <br>$data_cache .= "</span><span>$data</span><span>[</span><span>'$key'</span><span>]=array(</span><span>'</span><span>"; <br>$data_cache .= "</span><span>'NAME'</span><span> => </span>.= <span></span> "'VALUE'=>""<span></span>.<span></span>qoute<span></span>(<span></span>$val<span></span>[<span></span>'VALUE'<span></span>]).<span><br>""" </span><span></span>$data_cache <span> </span>.= <span> </span>";);rn"<span></span>; <span>} </span><span></span>$data_cache <span></span>= <span></span>"?>rn"<span></span>; <span></span><span>// save the data to the cache file <br> </span><span>if (</span><span> $fd </span><span>= </span><span>fopen<br><br>(</span><span>$cache_filename</span><span>,</span><span>'w</span><span>+<br></span>'<span><br>)) { </span><span></span>fputs<span></span>( <span></span>$fd<span></span>,<span></span>$ data_cache<span></span>); <span></span><span>fclose</span><span>(</span><span>$fd</span><span>); <br>} </span>} <span>return </span><span>$data</span><span>; </span>} <span></span><span> ?></span> <span><br></span><span><br>Applicable situations: <br>1. The data is relatively stable, mainly for reading operations. <br>2. File operations are faster than database operations. <br>3. Complex data access, large data volume access, intensive data access, the system database load is extremely heavy. <br>4.Web/DB separation structure or multi-Web single DB structure. <br>Unconfirmed questions: <br>1. Will reading and writing files during concurrent access cause locking problems. <br>2. How is the performance when there are too many data files involved? <br>Expansion ideas: <br>1. Generate JavaScript data definition code and call it on the client. <br>2. Haven’t thought of it yet... <br>Hope to discuss it together. <br>
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The above introduces the 2009nba finals data PHP data caching technology, including the content of the 2009nba finals data. I hope it will be helpful to friends who are interested in PHP tutorials. </p>
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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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