In -depth analysis of the cache framework in the Java library

In -depth analysis of the cache framework in the Java library Abstract: Caches is one of the common technologies to improve program performance.The cache cache framework is a popular cache solution in the Java class library.This article will thoroughly analyze the working principle, use examples and best practice of the cache framework. introduction: With the growth of applications and the increase in users, the efficiency requirements for data access are also increasing.Caches is a key technology. By storing frequent access to data in memory, the speed of data access can be greatly improved.The caching cache framework in the Java library is a high -performance cache solution. It has flexible configuration and easy -to -use API, making it easier to use the cache in Java applications. 1. The working principle of the cache cache framework: The cache cache framework uses a cache strategy called LRU (Least Recently Used).It stores the recently used data in memory and limits the size of the cache.When caffeine reaches the maximum capacity, caffeine will automatically delete the latest data that is recently used, leaving room for new data.This strategy can ensure that the commonly used data is always preserved in the cache, increasing the speed of data access. Example of the use of caffeine cache: Here are a simple example of using cache cache framework: import com.github.benmanes.caffeine.cache.Cache; import com.github.benmanes.caffeine.cache.Caffeine; public class CaffeineCacheExample { public static void main(String[] args) { // Create a cache object Cache<String, String> cache = Caffeine.newBuilder() .maximumSize(100) .build(); // Put the data into the cache cache.put("key1", "value1"); // Obtain data from the cache String value = cache.getIfPresent("key1"); System.out.println(value); // Delete the data in the cache cache.invalidate("key1"); } } In this example, we used the Caffeine class' newbuilder` method to create a cache object.Then, put the key value into the cache through the `put` method.Using the `GetifreSent` method to get data from the cache, if the data does not exist, return NULL.`Invalidate` method can be used to delete data in the cache.Through the above code, we can use the caching cache framework in Java applications. Third, the best practice of caffeine cache: -The size of the cache: the size of the cache should be adjusted according to the specific application scenarios.If the setting is too small, it may lead to a low cache hit rate; if the setting is too large, it may occupy too much memory. -Pungeon the expiration time of the cache: the cache data should be set appropriately to ensure the timeliness of the data.The caffine cache framework provides the method of `ExpireaFTERWRITE` and` ExpireaFTeraccess` to set the expiration time. -Shalm buffer breakdown and avalanche: cache break refers to when the cache does not correspond to a certain key in the cache, a large number of requests poured into the database at the same time, resulting in too much database pressure.The avalanche means that the large amount of data in the cache expires at the same time, causing a large number of requests to pour into the database.In order to avoid these problems, a reasonable cache strategy can be set up and using mutual locks to protect data. in conclusion: Caffeine caching framework is an efficient and easy -to -use cache solution in the Java class library.Through in -depth analysis, we can understand its working principles, use examples, and best practice, we can better use cache to improve program performance in Java applications.In practical applications, we need to reasonably configure and use the cache framework according to the specific scene to achieve the best performance and effect.