This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Framework 6.1.13! |
This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Framework 6.1.13! |
The cache abstraction provides several storage integration options. To use them, you need
to declare an appropriate CacheManager
(an entity that controls and manages Cache
instances and that can be used to retrieve these for storage).
JDK ConcurrentMap
-based Cache
The JDK-based Cache
implementation resides under
org.springframework.cache.concurrent
package. It lets you use ConcurrentHashMap
as a backing Cache
store. The following example shows how to configure two caches:
-
Java
-
Kotlin
-
Xml
@Bean
ConcurrentMapCacheFactoryBean defaultCache() {
ConcurrentMapCacheFactoryBean cache = new ConcurrentMapCacheFactoryBean();
cache.setName("default");
return cache;
}
@Bean
ConcurrentMapCacheFactoryBean booksCache() {
ConcurrentMapCacheFactoryBean cache = new ConcurrentMapCacheFactoryBean();
cache.setName("books");
return cache;
}
@Bean
CacheManager cacheManager(ConcurrentMapCache defaultCache, ConcurrentMapCache booksCache) {
SimpleCacheManager cacheManager = new SimpleCacheManager();
cacheManager.setCaches(Set.of(defaultCache, booksCache));
return cacheManager;
}
@Bean
fun defaultCache(): ConcurrentMapCacheFactoryBean {
return ConcurrentMapCacheFactoryBean().apply {
setName("default")
}
}
@Bean
fun booksCache(): ConcurrentMapCacheFactoryBean {
return ConcurrentMapCacheFactoryBean().apply {
setName("books")
}
}
@Bean
fun cacheManager(defaultCache: ConcurrentMapCache, booksCache: ConcurrentMapCache): CacheManager {
return SimpleCacheManager().apply {
setCaches(setOf(defaultCache, booksCache))
}
}
<!-- simple cache manager -->
<bean id="cacheManager" class="org.springframework.cache.support.SimpleCacheManager">
<property name="caches">
<set>
<bean class="org.springframework.cache.concurrent.ConcurrentMapCacheFactoryBean" name="default"/>
<bean class="org.springframework.cache.concurrent.ConcurrentMapCacheFactoryBean" name="books"/>
</set>
</property>
</bean>
The preceding snippet uses the SimpleCacheManager
to create a CacheManager
for the
two nested ConcurrentMapCache
instances named default
and books
. Note that the
names are configured directly for each cache.
As the cache is created by the application, it is bound to its lifecycle, making it suitable for basic use cases, tests, or simple applications. The cache scales well and is very fast, but it does not provide any management, persistence capabilities, or eviction contracts.
Ehcache-based Cache
Ehcache 3.x is fully JSR-107 compliant and no dedicated support is required for it. See JSR-107 Cache for details.
Caffeine Cache
Caffeine is a Java 8 rewrite of Guava’s cache, and its implementation is located in the
org.springframework.cache.caffeine
package and provides access to several features
of Caffeine.
The following example configures a CacheManager
that creates the cache on demand:
-
Java
-
Kotlin
-
Xml
@Bean
CacheManager cacheManager() {
return new CaffeineCacheManager();
}
@Bean
fun cacheManager(): CacheManager {
return CaffeineCacheManager()
}
<bean id="cacheManager" class="org.springframework.cache.caffeine.CaffeineCacheManager"/>
You can also provide the caches to use explicitly. In that case, only those are made available by the manager. The following example shows how to do so:
-
Java
-
Kotlin
-
Xml
@Bean
CacheManager cacheManager() {
CaffeineCacheManager cacheManager = new CaffeineCacheManager();
cacheManager.setCacheNames(List.of("default", "books"));
return cacheManager;
}
@Bean
fun cacheManager(): CacheManager {
return CaffeineCacheManager().apply {
cacheNames = listOf("default", "books")
}
}
<bean id="cacheManager" class="org.springframework.cache.caffeine.CaffeineCacheManager">
<property name="cacheNames">
<set>
<value>default</value>
<value>books</value>
</set>
</property>
</bean>
The Caffeine CacheManager
also supports custom Caffeine
and CacheLoader
.
See the Caffeine documentation
for more information about those.
GemFire-based Cache
GemFire is a memory-oriented, disk-backed, elastically scalable, continuously available,
active (with built-in pattern-based subscription notifications), globally replicated
database and provides fully-featured edge caching. For further information on how to
use GemFire as a CacheManager
(and more), see the
Spring Data GemFire reference documentation.
JSR-107 Cache
Spring’s caching abstraction can also use JSR-107-compliant caches. The JCache
implementation is located in the org.springframework.cache.jcache
package.
Again, to use it, you need to declare the appropriate CacheManager
.
The following example shows how to do so:
-
Java
-
Kotlin
-
Xml
@Bean
javax.cache.CacheManager jCacheManager() {
CachingProvider cachingProvider = Caching.getCachingProvider();
return cachingProvider.getCacheManager();
}
@Bean
org.springframework.cache.CacheManager cacheManager(javax.cache.CacheManager jCacheManager) {
return new JCacheCacheManager(jCacheManager);
}
@Bean
fun jCacheManager(): javax.cache.CacheManager {
val cachingProvider = Caching.getCachingProvider()
return cachingProvider.getCacheManager()
}
@Bean
fun cacheManager(jCacheManager: javax.cache.CacheManager): org.springframework.cache.CacheManager {
return JCacheCacheManager(jCacheManager)
}
<bean id="cacheManager"
class="org.springframework.cache.jcache.JCacheCacheManager"
p:cache-manager-ref="jCacheManager"/>
<!-- JSR-107 cache manager setup -->
<bean id="jCacheManager" .../>
Dealing with Caches without a Backing Store
Sometimes, when switching environments or doing testing, you might have cache declarations without having an actual backing cache configured. As this is an invalid configuration, an exception is thrown at runtime, since the caching infrastructure is unable to find a suitable store. In situations like this, rather than removing the cache declarations (which can prove tedious), you can wire in a simple dummy cache that performs no caching — that is, it forces the cached methods to be invoked every time. The following example shows how to do so:
-
Java
-
Kotlin
-
Xml
@Bean
CacheManager cacheManager(CacheManager jdkCache, CacheManager gemfireCache) {
CompositeCacheManager cacheManager = new CompositeCacheManager();
cacheManager.setCacheManagers(List.of(jdkCache, gemfireCache));
cacheManager.setFallbackToNoOpCache(true);
return cacheManager;
}
@Bean
fun cacheManager(jdkCache: CacheManager, gemfireCache: CacheManager): CacheManager {
return CompositeCacheManager().apply {
setCacheManagers(listOf(jdkCache, gemfireCache))
setFallbackToNoOpCache(true)
}
}
<bean id="cacheManager" class="org.springframework.cache.support.CompositeCacheManager">
<property name="cacheManagers">
<list>
<ref bean="jdkCache"/>
<ref bean="gemfireCache"/>
</list>
</property>
<property name="fallbackToNoOpCache" value="true"/>
</bean>
The CompositeCacheManager
in the preceding chains multiple CacheManager
instances and,
through the fallbackToNoOpCache
flag, adds a no-op cache for all the definitions not
handled by the configured cache managers. That is, every cache definition not found in
either jdkCache
or gemfireCache
(configured earlier in the example) is handled by
the no-op cache, which does not store any information, causing the target method to be
invoked every time.