Cache2k core implementation of the cache strategy in the framework

Cache2k is a high -performance, lightweight Java cache library, which aims to provide fast, reliable and easy to use cache solutions.Its core implementation framework has a variety of cache strategies, allowing developers to choose the most suitable strategies based on application scenarios to improve performance and reliability. Cache2k supports the following common cache strategies: 1. LRU (recently used) strategy: In the case of memory tightness, this strategy will choose the latest data that has been used recently for deportation to release memory space.When new data is accessed, the LRU strategy will put the new data on the top of the cache and put the longest unused data at the bottom. The following is an example code that uses cache2k to implement the LRU cache strategy: Cache<Integer, String> cache = Cache2kBuilder.of(Integer.class, String.class) .entryCapacity(1000) .eternal(true) .expireAfterAccess(Duration.ofMinutes(10)) .build(); cache.put(1, "Data 1"); cache.put(2, "Data 2"); cache.put(3, "Data 3"); String data = cache.get (1); // The cache item of the access key is 1 2. LFU (minimum frequency use) strategy: This strategy will be expelled at the least access data according to the frequency of data accessed.The LFU strategy is suitable for optimizations that need to be optimized according to the frequency of data access. The following is an example code that uses cache2k to implement the LFU cache strategy: Cache<Integer, String> cache = Cache2kBuilder.of(Integer.class, String.class) .entryCapacity(1000) .eternal(true) .expireAfterAccess(Duration.ofMinutes(10)) .loader (this :: LoaddataFromdatabase) // The method of loading the data from the database .build(); String data = cache.peek (1); // View the cache item with a key to 1 (will not increase access frequency) cache.get (1); // The cache item with a access key is 1 (it will increase the frequency of access) 3. FIFO (Advanced First Out) Strategy: This strategy will choose the earliest data to be expelled from the earliest cache data in accordance with the sequence of data storage.The FIFO strategy is suitable for the operation that needs to be operated in the order of adding the cache in accordance with the data. The following is an example code that uses cache2k to implement the FIFO cache strategy: Cache<Integer, String> cache = Cache2kBuilder.of(Integer.class, String.class) .entryCapacity(1000) .eternal(true) .expireAfterAccess(Duration.ofMinutes(10)) .build(); cache.put(1, "Data 1"); cache.put(2, "Data 2"); cache.put(3, "Data 3"); String remainddata = cache.peekandremove (); // Remove and get the earliest data to be added In addition to the above three common cache strategies, Cache2K also supports other strategies, such as FIFO-Heap, FIFO-DISCARD, and Random. Developers can choose the most suitable strategies according to specific needs to optimize application performance.Cache2k also provides a wealth of configuration options for custom configuration and adjustment according to the actual situation. In summary, Cache2K's core implementation framework provides a variety of cache strategies, enabling developers to choose the most suitable strategies based on application scenarios to improve performance and reliability.By using Cache2K, developers can easily achieve high -performance cache solutions and improve the response speed and user experience of the application. The above is a brief introduction to the cache strategy of cache2k. I hope to help you better understand the core implementation framework of Cache2k.