Explore the technical principles and implementation of the core cache framework in the Java library

The technical principles and implementation of the core cache framework in the Java class library Caches is one of the important means to improve system performance, which can significantly reduce the load of the system and improve the response speed.The Java class library provides some core cache frameworks, such as EHCACHE, Guava Cache and Caffeine, which play an important role in different application scenarios.This article will explore the technical principles and implementation of these frameworks. 1. Ehcache EHCACHE is an early Java open source cache framework and is widely used in various Java applications.Its core principle is the cache storage method of memory and disk.EHCACHE uses the memory and disk dual -layer cache structure, stores commonly used data in memory, while the data that is not commonly used is stored on the disk.When you need to access the data, first check whether there is the data in the memory, if there is no existence, and then load it from the disk to the memory.This method can not only improve the response speed, but also ensure availability and data consistency. In the implementation of EHCACHE, the core categories are cacheManager and Cache. The cacheManager is responsible for managing and configured cache instances, while Cache is responsible for actual cache operations.Below is a simple example of using EHCACHE: CacheManager cacheManager = CacheManager.create(); Cache cache = cacheManager.getCache("myCache"); // Put the data into the cache cache.put(new Element("key", "value")); // Obtain data from the cache Element element = cache.get("key"); Object value = element.getObjectValue(); 2. Guava Cache Guava Cache is a Java cache framework developed by Google, which provides rich functions and higher -level cache configuration options.The core principle of Guava Cache is to store data in JVM pile memory and use the LRU algorithm (recently used) to manage data in the cache.When the cache data reaches a certain size limit, the Guava Cache will automatically clean up the older data to free up the space. In the implementation of Guava Cache, the core categories are Cachebuilder and LoadingCache.Cachebuilder is responsible for creating and configured cache instances, while LoadingCache represents a cache automatically loaded data.The following is a simple example of using Guava Cache: LoadingCache<String, String> cache = CacheBuilder.newBuilder() .maximumSize(100) .expireAfterWrite(1, TimeUnit.MINUTES) .build( new CacheLoader<String, String>() { public String load(String key) throws Exception { // When there is no existence in the cache, load data from other data sources return loadFromDatabase(key); } }); // Obtain data from the cache String value = cache.get("key"); 3. Caffeine Caffeine is a high -performance Java cache library, which is focusing on providing fast and efficient cache access.The core principle of Caffeine is the two -layer cache structure of memory and disk, similar to EHCACHE.It uses an algorithm similar to LRU to manage the memory cache, and can save the unused data on the disk to save memory space. In the implementation of Caffeine, the core categories are Caffeine and Cache.Caffeine is responsible for creating and configured cache instances, while cache is the actual operating interface of the cache.Below is a simple example of using Caffeine: Cache<String, String> cache = Caffeine.newBuilder() .maximumSize(100) .expireAfterWrite(1, TimeUnit.MINUTES) .build(); // Put the data into the cache cache.put("key", "value"); // Obtain data from the cache String value = cache.getIfPresent("key"); Summarize: The core caching frameworks in the Java class library, such as EHCACHE, Guava Cache, and Caffeine, all provide easy -to -use API and rich configuration options, so that developers can easily use cache in applications to improve performance.These frameworks are based on the cache storage method of memory and disk, and use different algorithms and strategies to manage data in the cache.Through reasonable configuration cache parameters, developers can choose the most suitable cache framework according to the needs of the application scenario to improve the performance and response speed of the system.