What is the programmer caching mechanism?

Programmer caching mechanism refers to a technical means of using caching in software development to improve system performance and response speed. Common programmer caching mechanisms include: 1. Database caching: caching database query results into memory to reduce the number of accesses to the database; 2. Page caching: caching dynamically generated pages or page fragments into memory or disk to Reduce server-side calculations and network transmission; 3. Object caching: cache frequently used objects or data structures into memory to reduce creation and initialization overhead; 4. CDN caching, etc.

Operating system for this tutorial: Windows 10 system, Dell G3 computer.

Programmer caching mechanism refers to a technical means of using caching in software development to improve system performance and response speed. Cache is a mechanism for temporarily storing data. Data that is frequently accessed or calculated is stored in a high-speed storage medium so that it can be quickly retrieved and used.

The following are common programmer caching mechanisms:

1. Database caching: Cache database query results into memory to reduce the number of accesses to the database. Common database caching technologies include MySQL query cache, Redis and other in-memory databases.

2. Page caching: Cache dynamically generated pages or page fragments into memory or disk to reduce server-side calculations and network transmission. Common page caching technologies include Varnish, Nginx reverse proxy cache, etc.

3. Object caching: Cache frequently used objects or data structures into memory to reduce creation and initialization overhead. Common object caching technologies include Memcached, Redis, etc.

4. CDN cache: Cache static resources (such as images, CSS, JavaScript, etc.) to distributed CDN nodes to provide access points closer to users and speed up resource loading.

5. Application cache: Cache calculation results or intermediate data in the application to avoid repeated calculations. Common application caching technologies include caching frameworks (such as Ehcache, Guava Cache) or custom caching implementations.

6. Session caching: Cache the user's session data in memory to improve the response speed of user access. Common session caching techniques include using a distributed cache (such as Redis) to store session data.

By using appropriate caching mechanisms, access and calculations to underlying resources can be reduced, and system performance and response speed can be improved. However, cache also needs to consider cache consistency, cache update strategy, cache expiration and other issues to ensure cache effectiveness and data consistency.

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