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  1. DZone
  2. Data Engineering
  3. Data
  4. Spring Caching Abstraction and Google Guava Cache

Spring Caching Abstraction and Google Guava Cache

By 
Biju Kunjummen
·
Nov. 03, 14 · Interview
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Spring provides a great out of the box support for caching expensive method calls. The caching abstraction is covered in a great detail here.

My objective here is to cover one of the newer cache implementations that Spring now provides with 4.0+ version of the framework - using Google Guava Cache

In brief, consider a service which has a few slow methods:

public class DummyBookService implements BookService {

 @Override
 public Book loadBook(String isbn) {
  // Slow method 1.

 }

 @Override
 public List<Book> loadBookByAuthor(String author) {
  // Slow method 2
 }

}

With Spring Caching abstraction, repeated calls with the same parameter can be sped up by an annotation on the method along these lines - here the result of loadBook is being cached in to a "book" cache and listing of books cached into another "books" cache:

public class DummyBookService implements BookService {

 @Override
 @Cacheable("book")
 public Book loadBook(String isbn) {
  // slow response time..

 }

 @Override
 @Cacheable("books")
 public List<Book> loadBookByAuthor(String author) {
  // Slow listing
 }
}

Now, Caching abstraction support requires a CacheManager to be available which is responsible for managing the underlying caches to store the cached results, with the new Guava Cache support the CacheManager is along these lines:

@Bean
public CacheManager cacheManager() {
 return new GuavaCacheManager("books", "book");
}


Google Guava Cache provides a rich API to be able to pre-load the cache, set eviction duration based on last access or created time, set the size of the cache etc, if the cache is to be customized then a guava CacheBuilder can be passed to the CacheManager for this customization:

@Bean
public CacheManager cacheManager() {
 GuavaCacheManager guavaCacheManager =  new GuavaCacheManager();
 guavaCacheManager.setCacheBuilder(CacheBuilder.newBuilder().expireAfterAccess(30, TimeUnit.MINUTES));
 return guavaCacheManager;
}

This works well if all the caches have a similar configuration, what if the caches need to be configured differently - for eg. in the sample above, I may want the "book" cache to never expire but the "books" cache to have an expiration of 30 mins, then the GuavaCacheManager abstraction does not work well, instead a better solution is actually to use a SimpleCacheManager which provides a more direct way to get to the cache and can be configured this way:

@Bean
public CacheManager cacheManager() {
 SimpleCacheManager simpleCacheManager = new SimpleCacheManager();
 GuavaCache cache1 = new GuavaCache("book", CacheBuilder.newBuilder().build());
 GuavaCache cache2 = new GuavaCache("books", CacheBuilder.newBuilder()
             .expireAfterAccess(30, TimeUnit.MINUTES)
             .build());
 simpleCacheManager.setCaches(Arrays.asList(cache1, cache2));
 return simpleCacheManager;
}

This approach works very nicely, if required certain caches can be configured to be backed by a different caching engines itself, say a simple hashmap, some by Guava or EhCache some by distributed caches like Gemfire.

Cache (computing) Google Guava Abstraction (computer science) Spring Framework Google (verb)

Published at DZone with permission of Biju Kunjummen. See the original article here.

Opinions expressed by DZone contributors are their own.

Related

  • Choosing the Right Caching Strategy
  • That Can Not Be Tested!: Spring Cache and Retry
  • Creating Application using Spring Roo and Deploying on Google App Engine
  • Google Cloud Pub/Sub: Messaging With Spring Boot 2.5

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