Cache2k core implementation of the cache cleaning mechanism in the framework

Cache2k is a high -performance, configurable Java cache library. It provides a variety of cache cleaning mechanisms to maintain data in the cache's always effective and efficient.This article will introduce the core implementation framework and its cache cleaning mechanism of Cache2K. 1. Introduction to Cache2k Cache2k is a lightweight, unreasonable Java cache library, which has the characteristics of efficient, scalable and configurable.Its goal is to provide an easy -to -use, high -performance cache solution, which is suitable for various scenarios, including stand -alone, clusters and distributed environments. Cache2k has the following characteristics: 1. High -efficiency performance: Use memory object pool, optimized cache implementation, and efficient data storage structure to provide fast read and write operations and low latency response time. 2. Configurable: Through simple API and annotations, various cache configurations can be performed, including expired time, cache size, loading strategies, etc. to meet different business needs. 3. Asynchronous loading: Support the asynchronous loading mechanism, automatically load new data after cache fails, and avoid the request for waiting for too long. 4. Monitoring and statistics: Provide cache monitoring and statistical functions, which can easily view the status and performance indicators of cache. 2. Cache2k core implementation framework Cache2k's core implementation framework includes the following key components: 1. Cacheloader (cache loader): Responsible for loading the cache data from external data sources.By implementing the Cacheloader interface, data can be customized, such as loading data from database, files or remote interfaces. 2. StorageBackend (storage back end): Responsible for the storage and management of caching data.CACHE2K provides a variety of storage back -end implementation, including storage in the heap, stored storage, disk storage, etc., which can choose the appropriate storage method according to the needs. 3. Cachewriter (cache writer): Responsible for writing the cache data back to the external data source.When caching data changes, Cachewrit can write the updated data back to the external data source to maintain data consistency. 4. CacheEntry (cache entry): indicates a entry in the cache, including key, values, expiration time and other information. 5. CachePolicy (cache strategy): defines the cache's elimination and cleanup strategy.You can control the cache's size, expiration time, etc., and define the conditions for the elimination of the cache. Third, cache cleaning mechanism Calling cleaning is an important mechanism in cache2k to maintain the effectiveness and memory occupation in the cache.Cache2k provides a variety of cache cleaning mechanisms, which can choose the appropriate cleaning strategy as needed. 1. Clean up based on the maximum cache size: Cache2k allows the maximum cache size. When the number of cache entries exceeds the maximum cache size, a part of the indigenous entry will be eliminated according to a certain strategy to maintain the cache's size does not exceed the limit. Example code: Cache<Integer, String> cache = Cache2kBuilder.of(Integer.class, String.class) .entryCapacity(1000) .build(); 2. Clean up based on expired time: Cache2k supports the expiration time for each cache bar. When the time time of the induction of the cache is reached, it will be automatically removed from the cache. Example code: Cache<Integer, String> cache = Cache2kBuilder.of(Integer.class, String.class) .expireAfterWrite(10, TimeUnit.SECONDS) .build(); 3. Manual cleaning: Cache2k also provides a manual cleansing cache, which can actively clean up the cache according to business needs.For example, determine whether a specific cache entry needs to be cleaned according to a certain condition. Example code: cache.remove (1); // Clear entry with 1 in the cache key to 1 Fourth, summary Cache2k is a high -performance, configurable Java cache library with a variety of cache cleaning mechanisms, including mechanisms based on the maximum cache size, expiration time, and manual cleaning.Through reasonable configuration and cache cleaning mechanism, the effectiveness and efficiency of the cache data can be maintained, and the performance and response speed of the system can be improved.