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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