1. Introduction
In modern application development, caching is one of the key technologies to improve performance and responsiveness. Java provides a variety of local caching solutions, each with its characteristics and applicable scenarios. This article will introduce four common Java local cache implementations: Guava Cache, Caffeine, Ehcache, and Spring Cache.
2. Guava Cache
Theory introduction
Guava Cache is part of the Google Guava library and provides lightweight local caching capabilities. It has the following characteristics:
Simple and easy to use: The API is designed with simplicity and easy to integrate into the project.
Automatic recycling: Supports automatic recycling mechanism based on time or reference.
Concurrency support: Built-in efficient concurrency control, suitable for multi-threaded environments.
Practical demonstration
pom
<dependencies>
<!-- Guava Cache -->
<dependency>
<groupId></groupId>
<artifactId>guava</artifactId>
<version>30.1-jre</version>
</dependency>
</dependencies>
Sample code
/**
* LocalCacheTest
* @author senfel
* @version 1.0
* @date 2024/12/20 17:17
*/
@SpringBootTest
public class LocalCacheTest {
/**
* guavaCache
* @author senfel
* @date 2024/12/20 17:19
* @return void
*/
@Test
public void guavaCache() throws Exception{
LoadingCache<String, String> cache = ()
.maximumSize(100)
.expireAfterWrite(10, )
.build(new CacheLoader<String, String>() {
@Override
public String load(String key) {
return "Value for " + key;
}
});
(("key1")); // Output: Value for key1 }
3. Caffeine
Theory introduction
Caffeine is a high-performance local cache library that inherits the benefits of Guava Cache and is optimized. Its features include:
High Performance: Faster than Guava Cache, especially in high concurrency environments.
Flexible configuration: Supports multiple caching policies, such as LRU (latest used), LFU (latestly used), etc.
Memory friendly: Reduce memory footprint with weak and soft references.
Practical demonstration
pom
<dependencies>
<dependency>
<groupId></groupId>
<artifactId>caffeine</artifactId>
<version>2.9.3</version>
</dependency>
</dependencies>
Sample code
/**
* caffeineCache
* @author senfel
* @date 2024/12/20 17:25
* @return void
*/
@Test
public void caffeineCache() throws Exception{
Cache<String, String> cache = ()
.maximumSize(100)
.expireAfterWrite(10, )
.build();
("key1", "value1");
(("key1")); // Output: value1}
4. Ehcache
Theory introduction
Ehcache is a widely used open source caching framework suitable for both distributed and non-distributed environments. Its characteristics are:
Rich features: Supports multiple caching policies, persistence, clustering and other functions.
Flexible configuration: can be configured via XML or annotations.
Community Active: With a large user base and active community support.
Practical demonstration
pom
<dependencies>
<!-- Ehcache Core library -->
<dependency>
<groupId></groupId>
<artifactId>ehcache</artifactId>
<version>2.10.6</version>
</dependency>
<!-- Ehcache of web 集群分布式缓存of支持 -->
<dependency>
<groupId></groupId>
<artifactId>ehcache-web</artifactId>
<version>2.0.4</version>
</dependency>
</dependencies>
<!-- -->
<ehcache>
<cache name="exampleCache"
maxEntriesLocalHeap="100"
eternal="false"
timeToIdleSeconds="120"
timeToLiveSeconds="120"/>
</ehcache>
Sample code
/**
* ehcacheCache
* @author senfel
* @date 2024/12/20 17:31
* @return void
*/
@Test
public void ehcacheCache() throws Exception{
CacheManager cacheManager = ("D:\\workspace\\cce-demo\\src\\main\\resources\\");
Ehcache cache = ("exampleCache");
(new Element("key1", "value1"));
(("key1").getObjectValue()); // Output: value1}
5. Spring Cache
Theory introduction
Spring Cache is a cache abstraction layer provided by the Spring framework that can be seamlessly integrated with multiple caches. Its features include:
Declarative caching: simplifies the implementation of cache logic through annotations.
Highly integrated: Integrates tightly with the Spring ecosystem to facilitate working with other components.
Flexible choice: Supports multiple cache providers, such as ConcurrentMapCache, Ehcache, Caffeine, etc.
Practical demonstration
pom
<dependency>
<groupId></groupId>
<artifactId>caffeine</artifactId>
<version>2.9.3</version>
</dependency>
yaml
spring:
cache:
type: caffeine
caffeine:
spec: maximumSize=100,expireAfterWrite=10m
Sample code
/**
* CacheService
* @author senfel
* @version 1.0
* @date 2024/12/20 17:45
*/
@Service
public class CacheService {
/**
* getData
* @param key
* @author senfel
* @date 2024/12/20 17:53
* @return
*/
@Cacheable(value = "myCache")
public String getData(String key) {
// Simulation time-consuming operation try {
(1000);
} catch (InterruptedException e) {
();
}
return "Value for " + key;
}
}
@Resource
private CacheService cacheService;
/**
* testCache
* @param key
* @author senfel
* @date 2024/12/20 18:00
* @return
*/
@RequestMapping("/testCache")
public String testCache(String key) {
return (key);
}
6. Summary
To sum up, Guava Cache is simple and easy to use, automatic recycling, suitable for small applications, and has low performance requirements; Caffeine has high performance, flexible configuration of high concurrency environments, suitable for performance-sensitive applications; Ehcache has rich functions, flexible configuration, suitable for distributed systems, and requires complex caching strategies; Spring Cache is a declarative cache, highly integrated, suitable for Spring applications, and requires fast integration of caches. In actual opening, we can choose the appropriate caching scheme according to specific needs, which can significantly improve the performance and user experience of the application.
The above are the detailed contents of the four solutions for Java to implement local caching (Guava Cache, Caffeine, Ehcach and Spring Cache). For more information about Java local caching, please follow my other related articles!