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Spring Cache is a powerful cache component provided by the Spring framework to improve the performance and scalability of the application.This article will explain in detail the technical implementation and optimization of Spring Cache in the Java class library. Spring Cache's technology implementation mainly depends on the following key points: 1. Note support: Spring Cache uses annotations to mark the method of cache operation.Common annotations include `@cacheable` used to query the cache,`@cachepput` is used to update the cache, `@cacheevict` is used to delete the cache, etc.By adding the corresponding annotation to the method, you can automatically interact with the cache. 2. Cache Manager: Spring Cache provides a variety of cache managers, including EHCACHE -based EHCACHE, Rediscache -based Rediscache, etc.Applications can choose the right cache manager according to your needs.The cache manager is responsible for the actual cache operation, including reading cache, writing cache, and clearing cache. 3. Caches: Spring Cache supports multiple cache strategies, including cache -based expiration time, cache -based capacity, cache -based elimination algorithm, etc.By using the appropriate cache strategy, you can find a balance between performance and resource consumption. 4. Caches refresh: Spring Cache supports the cache manual refresh. You can clear the specific cache items by calling the `Cache.evict ()" method, or to clear the entire cache by calling the `cache.clear ()` method.This ensures that the data in the cache is consistent with the data in the database. The optimization of Spring Cache mainly includes the following aspects: 1. Select the right cache manager: Select the appropriate cache manager according to the characteristics and requirements of the application.For example, if the amount of data in the application is relatively large, you can choose to use a redis -based cache manager to avoid the problem of memory overflow. 2. Cache key design: The design of the cache key should have uniqueness and readability.Avoid using too complicated objects as cache keys, because the serialization and dependentization of complex objects will bring additional overhead. 3. Cache penetration problem: Cache penetration refers to querying a data that does not exist. Due to the lack of cache, the request will still fall into the database, causing the database pressure to be excessive.To solve this problem, you can use the Bloom filter or empty value cache. 4. Cache breakdown problem: Cache breakdown refers to the moment a Key existing Key has a large number of request access at the same time.In order to avoid cache penetration, you can use mutual locks or set a short -term random expiration time. The following is a simple example to demonstrate how to use Spring Cache in the Spring Boot application: @Service public class UserService { @Cacheable(value = "users", key = "#id") public User getUserById(Long id) { // Query user information from the database User user = userRepository.findById(id); return user; } @CachePut(value = "users", key = "#user.id") public User updateUser(User user) { // Update user information in the database userRepository.update(user); return user; } @CacheEvict(value = "users", key = "#id") public void deleteUser(Long id) { // Delete user information in the database userRepository.delete(id); } } In the above examples, the annotation of `@cacheable` is used to query the cache,`@cacheput `annotations are used to update the cache, and`@cachevict `annotations are used to delete the cache.In this way, cache operations can be easily performed at the level level. In summary, Spring Cache's technology in the Java library mainly depends on annotations support, cache manager and cache strategy.By selecting the appropriate cache manager and optimizing the cache operation, the performance and scalability of the application can be improved.