What is the refresh cache mechanism?

Detailed explanation of MyBatis caching mechanism: One article to understand the principle of cache storage Introduction When using MyBatis for database access, caching is a very important mechanism, which can effectively reduce access to the database and improve system performance. This article will introduce the caching mechanism of MyBatis in detail, including cache classification, storage principles and specific code examples. 1. Cache classification MyBatis cache is mainly divided into two types: first-level cache and second-level cache. The first-level cache is a SqlSession-level cache. When

Java cache mechanisms include memory cache, data structure cache, cache framework, distributed cache, cache strategy, cache synchronization, cache invalidation mechanism, compression and encoding, etc. Detailed introduction: 1. Memory cache, Java's memory management mechanism will automatically cache frequently used objects to reduce the cost of memory allocation and garbage collection; 2. Data structure cache, Java's built-in data structures, such as HashMap, LinkedList, HashSet, etc. , with efficient caching mechanisms, these data structures use internal hash tables to store elements and more.

In web applications, caching is often an important means to optimize performance. As a well-known web framework, Django naturally provides a complete caching mechanism to help developers further improve application performance. This article will provide a detailed explanation of the caching mechanism in the Django framework, including cache usage scenarios, recommended caching strategies, cache implementation and usage, etc. I hope it will be helpful to Django developers or readers who are interested in the caching mechanism. 1. Cache usage scenariosCache usage scenarios

Analysis of MyBatis' caching mechanism: The difference and application of first-level cache and second-level cache In the MyBatis framework, caching is a very important feature that can effectively improve the performance of database operations. Among them, first-level cache and second-level cache are two commonly used caching mechanisms in MyBatis. This article will analyze the differences and applications of first-level cache and second-level cache in detail, and provide specific code examples to illustrate. 1. Level 1 Cache Level 1 cache is also called local cache. It is enabled by default and cannot be turned off. The first level cache is SqlSes

Alibaba Cloud caching mechanisms include Alibaba Cloud Redis, Alibaba Cloud Memcache, distributed cache service DSC, Alibaba Cloud Table Store, CDN, etc. Detailed introduction: 1. Alibaba Cloud Redis: A distributed memory database provided by Alibaba Cloud that supports high-speed reading and writing and data persistence. By storing data in memory, it can provide low-latency data access and high concurrency processing capabilities; 2. Alibaba Cloud Memcache: the cache system provided by Alibaba Cloud, etc.

The secret of HTML caching mechanism: essential knowledge points, specific code examples are required In web development, performance has always been an important consideration. The HTML caching mechanism is one of the keys to improving the performance of web pages. This article will reveal the principles and practical skills of the HTML caching mechanism, and provide specific code examples. 1. Principle of HTML caching mechanism During the process of accessing a Web page, the browser requests the server to obtain the HTML page through the HTTP protocol. HTML caching mechanism is to cache HTML pages in the browser

With the vigorous development of e-commerce business, recommendation algorithms have become one of the keys to competition among major e-commerce platforms. As an efficient and high-performance language, Golang has great advantages in implementing e-commerce recommendation algorithms. However, while implementing efficient recommendation algorithms, the caching mechanism is also an issue that cannot be ignored. This article will introduce how to implement the caching mechanism of efficient e-commerce recommendation algorithm in Golang. 1. Why is the caching mechanism needed? In the e-commerce recommendation algorithm, the generation of recommendation results requires a large amount of computing resources. For high-concurrency e-commerce

HTML caching mechanisms include browser cache, cached HTTP headers, Expires, ETag, Last-Modified, etc. Detailed introduction: 1. Browser cache is a browser-based caching mechanism that stores previously visited web page content on the user's computer so that the web page content can be loaded and displayed faster on the next visit; 2 , Caching HTTP header is a caching mechanism in the HTTP/1.1 specification. It controls the browser's caching behavior of resources by setting response headers; 3. Expires, etc.