Table of Contents
1. The basic concept of caching
2. Cache storage method
3. Code examples
1. Use memory storage (taking Redis as an example)
2. Use file storage
3 . Using database storage
Conclusion
Home Backend Development PHP Tutorial An in-depth explanation of the storage method of PHPcms column cache

An in-depth explanation of the storage method of PHPcms column cache

Mar 14, 2024 pm 03:06 PM
php cache cms

An in-depth explanation of the storage method of PHPcms column cache

PHPcms is a very popular open source content management system that is widely used in the construction of various websites. Among them, column caching is a very important function. Caching can effectively improve the access speed and performance of the website. This article will provide an in-depth explanation of the storage method of PHPcms column cache, including the basic concept of cache, storage method and specific code examples.

1. The basic concept of caching

In PHPcms, caching refers to storing some frequently accessed data in memory or hard disk to reduce the number of database accesses for each request, thereby Improve website access speed. Column caching refers to storing the column structure information of the website in the cache, including the column name, ID, parent-child relationship and other information, so that it can be read directly from the cache when the front page is displayed, without having to query the database every time.

2. Cache storage method

The column cache in PHPcms can be stored in a variety of places, including memory, files and databases. Commonly used methods include:

  1. Memory storage: Store column information in memory, usually implemented using cache extensions such as Memcached, Redis, etc. Memory storage has fast reading speed and is suitable for websites with high real-time requirements.
  2. File storage: Store column information in a file, usually in array or JSON format. File storage is simple and convenient, suitable for websites that do not have high requirements for reading speed.
  3. Database storage: Store column information in the database, and query the database to obtain data when needed. Database storage is relatively flexible and suitable for the needs of different scenarios.

3. Code examples

1. Use memory storage (taking Redis as an example)

// 连接Redis服务器
$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

// 读取栏目信息
$columns = $redis->get('columns');

if(!$columns){
    // 如果缓存不存在,则从数据库获取数据
    $columns = db_query("SELECT * FROM columns");
    
    // 存储到Redis中
    $redis->set('columns', json_encode($columns));
}

// 使用栏目信息
foreach($columns as $column){
    echo $column['name'];
}
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2. Use file storage

// 读取栏目信息
$columns = file_get_contents('columns.json');

if(!$columns){
    // 如果文件缓存不存在,则从数据库获取数据
    $columns = db_query("SELECT * FROM columns");
    
    // 存储到文件中
    file_put_contents('columns.json', json_encode($columns));
}

// 使用栏目信息
$columns = json_decode($columns, true);
foreach($columns as $column){
    echo $column['name'];
}
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3 . Using database storage

// 读取栏目信息
$columns = db_query("SELECT * FROM columns");

if(!$columns){
    // 如果数据库缓存不存在,则从数据库获取数据
    $columns = db_query("SELECT * FROM columns");
    
    // 存储到数据库中
    db_query("INSERT INTO cache_table (cache_key, cache_value) VALUES ('columns', '".json_encode($columns)."')");
}

// 使用栏目信息
foreach($columns as $column){
    echo $column['name'];
}
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Through the above code examples, you can see different cache storage methods, with their own characteristics and applicable scenarios. In practical applications, the appropriate storage method can be selected according to the needs and scale of the website to improve the performance and efficiency of the website.

Conclusion

Column caching is an important function in PHPcms. Through reasonable storage methods and strategies, the access speed and user experience of the website can be greatly improved. From basic concepts, storage methods to specific code examples, this article hopes to help readers have a deeper understanding of the storage method of PHPcms column cache.

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