As websites run longer and longer, PHP applications gradually face more and more performance problems and high concurrency challenges. In order to improve the response speed and performance of applications, PHP developers need to continuously optimize code structure, reduce database access, optimize SQL statements and accelerate data caching.
Among them, caching technology is one of the important means to improve application performance. This article mainly introduces the effect of caching technology in PHP on improving the maintainability of applications, and explains it from several aspects such as the concept, classification, usage scenarios and implementation methods of caching.
1. The concept and classification of cache
Cache is a modern computer solution used to increase data access speed, shorten system response time, and improve system availability and scalability. Caching is based on a multi-level storage structure, that is, a layer of cache is set up between storage devices with slow access speeds (such as disks) and storage devices with fast access speeds (such as memory) to improve the access speed to data. and system response time.
According to the storage location of the cache, the cache can be divided into two types: local cache and remote cache. Local caching generally refers to caching locally on the application server, such as memory, file system, database, etc.; remote caching generally refers to caching on other nodes on the network, such as distributed cache, CDN, etc.
According to the scope of cache, cache can be divided into global cache and local cache. Global cache generally refers to caches with a relatively long life cycle, such as configuration cache, routing cache, language cache, etc.; local cache generally refers to caches with a relatively short life cycle, such as page cache, session cache, query result cache, etc.
2. Caching usage scenarios
In PHP applications, caching technology can be applied in the following aspects to improve application performance and maintainability.
3. Cache implementation methods
In PHP, there are three common implementation methods of caching technology: APC (Alternative PHP Cache), Memcached and Redis.
APC is one of the more common PHP cache plug-ins. It is mainly used for PHP bytecode caching, that is, compiling PHP scripts into The bytecode is then saved to memory to avoid the need for compilation every time the script is executed.
Memcached is an open source, high-performance distributed memory cache system. It is mainly used to cache data. It can cache data into memory or remote cache. It supports multiple languages, including PHP, and the caching function can be easily implemented by calling the API provided by Memcached.
Redis is a high-performance non-relational in-memory database, often used in scenarios such as caching and message queues. It supports a variety of data structures, including strings, hash tables, lists, sets, ordered sets, etc., and also supports a variety of extension plug-ins, including PHP extensions.
4. The effect of caching on improving the maintainability of applications
Caching technology can improve the performance and maintainability of applications. The specific performance is as follows:
By using caching technology, database query results can be cached in memory to avoid frequent database access, thereby reducing the pressure on the database.
By caching some commonly used functions or objects into the global cache, you can improve code reusability and avoid repeated code implementation. This reduces code complexity and maintenance costs.
By using distributed caches such as Memcached and Redis, cached data can be stored on multiple servers to achieve cached data load balancing to improve system scalability.
By using caching technology, the historical version of data can be recorded, that is, the data before each data change is cached for subsequent data Recovery and analysis.
5. Conclusion
Caching technology is one of the important means to improve the performance and maintainability of applications. PHP developers can effectively improve the performance of applications through understanding and using cache. Response speed, reduce system load and improve system scalability to better cope with challenges such as high concurrency and large traffic.
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