Java is one of the most popular programming languages currently and is widely used in fields such as web applications, mobile applications, and big data processing. In Java development, Ehcache is a commonly used cache processing framework, which can help developers easily cache and manage data and improve system performance and response speed.
Ehcache is an open source caching framework that has the following advantages:
This article will introduce how to use Ehcache for caching processing in Java API development.
1. Basic principles of Ehcache
In Ehcache, cached data is stored in memory. When data is requested, Ehcache will first query whether the data exists in the cache, and if so, directly Return, otherwise retrieve the data from the database or other data source, store it in the cache and return it at the same time. If the cache is full, Ehcache will clean the cache according to the predefined cache policy to ensure that the cache capacity does not exceed the limit.
2. Use Ehcache for caching processing
Before using Ehcache for caching processing, you need to introduce Ehcache's dependencies first Bag. Taking Maven as an example, the introduced dependency packages are as follows:
<dependency> <groupId>net.sf.ehcache</groupId> <artifactId>ehcache-core</artifactId> <version>2.6.11</version> </dependency>
Before using Ehcache for cache processing, you need to configure Ehcache. There are two common formats for Ehcache configuration files: XML format and properties format. The following is an example of an Ehcache configuration file in XML format:
<ehcache> <defaultCache maxElementsInMemory="10000" eternal="false" timeToIdleSeconds="120" timeToLiveSeconds="120" overflowToDisk="false" diskPersistent="false" diskExpiryThreadIntervalSeconds="120" memoryStoreEvictionPolicy="LRU" /> </ehcache>
The above configuration defines a cache named defaultCache, which can store up to 10,000 elements, and the maximum survival time of elements in the cache is 120 seconds ( timeToLiveSeconds), if the element is not accessed within 120 seconds, it will be cleaned (timeToIdleSeconds). If the cache is full and overflowToDisk is set to true, a subset of elements will be stored on disk.
When using Ehcache for data caching, you need to create an Ehcache instance and put the data to be stored in the cache. The following is a simple example:
public class CacheUtils { private static CacheManager cacheManager = CacheManager.create(); public static void put(String cacheName, Object key, Object value) { Cache cache = cacheManager.getCache(cacheName); if (cache == null) { cache = new Cache(cacheName, 10000, false, false, 120, 120); cacheManager.addCache(cache); } Element element = new Element(key, value); cache.put(element); } public static Object get(String cacheName, Object key) { Cache cache = cacheManager.getCache(cacheName); if (cache == null) { return null; } Element element = cache.get(key); if (element != null) { return element.getObjectValue(); } return null; } }
In the above code, the CacheUtils class encapsulates the basic operations of Ehcache, including data storage and retrieval. In the put method, first get the cache with the specified name. If the cache does not exist, create a new cache and add it to the CacheManager. Then, create an Element object, store the key and value in it, and put it in the cache. In the get method, first obtain the cache with the specified name. If the cache does not exist, return null; otherwise, obtain the Element object corresponding to the specified key and return its value.
When using Ehcache for caching processing, you need to choose an appropriate caching strategy to ensure the cache hit rate while avoiding the cache capacity exceeding the limit. . Ehcache provides a variety of caching strategies, including LRU, LFU, FIFO, etc. Choosing an appropriate caching strategy needs to be based on specific application scenarios and needs.
3. Summary
Ehcache is a powerful and easy-to-use caching framework that has been widely used in Java development. This article introduces the basic principles, usage and caching strategies of Ehcache. By studying this article, readers can learn how to use Ehcache for caching in Java API development to improve application performance and response speed.
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