How does caching mechanism in PHP framework affect performance?

The caching mechanism improves performance in the PHP framework by storing results in memory to avoid repeated operations. Cache types include application cache (which stores application data) and session cache (which stores user session variables). The performance impact is reflected in reducing database queries, optimizing complex calculations, and speeding up page loading. When using the Laravel framework, you can access the cache function through the Cache facade. You need to pay attention to matters such as cache data invalidation, cache size, and data consistency.

The impact of the caching mechanism in the PHP framework on performance

The caching mechanism is a common technology used to improve application performance in the PHP framework. By storing results in memory, caching mechanisms avoid repetitive operations such as database queries or complex calculations.

Caching mechanism types

The following two main cache types are usually used in the PHP framework:

• ##Application cache: Stores application-specific data, Such as query results or page fragments.
• Session Cache: Stores variables related to the user's session, such as shopping cart contents or login information.

• Reduce database queries:Through caching Query results can avoid repeated queries to the database, thereby reducing database load and response time.
• Optimize complex calculations: For complex algorithms that require a large amount of calculations, intermediate results can be cached to avoid repeated calculations.
• Speed ​​up page loading: Caching page fragments or the entire page can speed up web page loading and improve user experience.

Cache facade to access the cache function. The following example shows how to use application cache to store query results:

// 缓存查询结果 10 分钟
$query = DB::table('users')->where('name', 'John')->first();
Cache::put('user_john', $query, 600);

// 获取已缓存的查询结果
$cachedQuery = Cache::get('user_john');

• Cache data invalidation: Data on the cache may become invalid, so an appropriate cache invalidation strategy needs to be developed.
• Cache size: The cache size should be limited to avoid out-of-memory conditions.
• Data consistency: The data in the cache should be consistent with that in the database to ensure data integrity and reliability.

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