How to manage data cache through thinkorm
In the process of Web development, data caching is one of the important means to improve system performance. As a powerful PHP framework, thinkorm provides simple and fast data cache management functions, which can help developers better implement data caching. This article will introduce how to manage data cache through thinkorm, and illustrate it with code examples.
use thinkacadeCache; // 引入缓存类 // 从缓存中读取数据 $data = Cache::get('cache_key'); // 若缓存中无数据,则从数据库中读取 if (empty($data)) { $data = Db::name('table')->select(); // 写入缓存,设置缓存时间(单位:秒) Cache::set('cache_key', $data, 3600); } // 返回数据 return $data;
In the above example, first use the get method of the Cache class to read data from the cache. If the cache is empty, use the DB class to read the data from the cache. Get data from the database. Subsequently, the set method of the Cache class is used to write the data to the cache, and a valid time is set for the cache (here it is 3600 seconds, which is 1 hour). Finally, the data is returned for subsequent use.
use thinkacadeCache; // 引入缓存类 // 清除指定缓存 Cache::delete('cache_key'); // 清除某个前缀的所有缓存 Cache::clear('prefix_');
In the above example, we use the delete method of the Cache class to clear the cache named "cache_key". In addition, the clear method can clear all caches with a specified prefix. For example, "prefix_" in the example means clearing all caches starting with "prefix_".
use thinkacadeCache; // 引入缓存类 // 设置缓存依赖(以表的更新时间作为依赖) $cacheKey = 'cache_key'; $dependencies = ['table1'=> time(), 'table2'=> time()]; // 依赖数据 Cache::tag('tag_name')->set($cacheKey, $data, null, $dependencies);
In the above example, we use the tag method of the Cache class to create a tag named "tag_name" to mark related data. Subsequently, use the set method to set the cache and pass in a dependency array. The key in the dependency array is the data table name, and the value is the update time of the data table. When the update time of the table changes, the relevant cache will automatically expire.
Through the above steps, we can easily use thinkorm to manage data cache. In actual development, we can reasonably use the cache management function provided by thinkorm to improve system performance and user experience based on actual scenarios and needs.
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