Spring @Cacheable指定失效时间实例-Java开发

Spring @Cacheable指定失效时间实例目录 Spring @Cacheable指定失效时间新版本配置老版本配置 @Cacheable缓存失效时间策略默认实现及扩展背景 Spring Cache Redis实现 Spring Cache 失效时间自行刷新 Spring @Cacheable指定失效时间新版本配置 @Configuration @EnableCac

Spring @Cacheable指定失效时间

新版本配置


@Configuration
@EnableCaching
public class RedisCacheConfig {
    @Bean
    public RedisCacheManagerBuilderCustomizer redisCacheManagerBuilderCustomizer() {
        return (builder) -> {
            for (Map.Entry<String, Duration> entry : RedisCacheName.getCacheMap().entrySet()) {
                builder.withCacheConfiguration(entry.getKey(),
                        RedisCacheConfiguration.defaultCacheConfig().entryTtl(entry.getValue()));
            }
        };
    }

    public static class RedisCacheName {
        public static final String CACHE_10MIN = "CACHE_10MIN";
        @Getter
        private static final Map<String, Duration> cacheMap;
        static {
            cacheMap = ImmutableMap.<String, Duration>builder().put(CACHE_10MIN, Duration.ofSeconds(10L)).build();
        }
    } 

}

老版本配置


interface CacheNames{
    String CACHE_15MINS = "sssss:cache:15m";
        /** 30分钟缓存组 */
    String CACHE_30MINS = "sssss:cache:30m";
        /** 60分钟缓存组 */
    String CACHE_60MINS = "sssss:cache:60m";
        /** 180分钟缓存组 */
    String CACHE_180MINS = "sssss:cache:180m";
}

@Component
 public class RedisCacheCustomizer
            implements CacheManagerCustomizer<RedisCacheManager> {
        /** CacheManager缓存自定义初始化比较早，尽量不要@autowired 其他spring 组件 */
        @Override
        public void customize(RedisCacheManager cacheManager) {
            // 自定义缓存名对应的过期时间
            Map<String, Long> expires = ImmutableMap.<String, Long>builder()
                    .put(CacheNames.CACHE_15MINS, TimeUnit.MINUTES.toSeconds(15))
                    .put(CacheNames.CACHE_30MINS, TimeUnit.MINUTES.toSeconds(30))
                    .put(CacheNames.CACHE_60MINS, TimeUnit.MINUTES.toSeconds(60))
                    .put(CacheNames.CACHE_180MINS, TimeUnit.MINUTES.toSeconds(180)).build();
            // spring cache是根据cache name查找缓存过期时长的，如果找不到，则使用默认值
            cacheManager.setDefaultExpiration(TimeUnit.MINUTES.toSeconds(30));
            cacheManager.setExpires(expires);
        }
    } 

  @Cacheable(key = "key", cacheNames = CacheNames.CACHE_15MINS)
    public String demo2(String key) {
        return "abc" + key;
  }

@Cacheable缓存失效时间策略默认实现及扩展

之前对Spring缓存的理解是每次设置缓存之后，重复请求会刷新缓存时间，但是问题排查阅读源码发现，跟自己的理解大相径庭。所有的你以为都仅仅是你以为！！！！

背景

目前项目使用的spring缓存，主要是CacheManager、Cache以及@Cacheable注解，Spring现有的缓存注解无法单独设置每一个注解的失效时间，Spring官方给的解释：Spring Cache是一个抽象而不是一个缓存实现方案。

因此对于缓存失效时间（TTL）的策略依赖于底层缓存中间件，官方给举例：ConcurrentMap是不支持失效时间的，而Redis是支持失效时间的。

Spring Cache Redis实现

Spring缓存注解@Cacheable底层的CacheManager与Cache如果使用Redis方案的话，首次设置缓存数据之后，每次重复请求相同方法读取缓存并不会刷新失效时间，这是Spring的默认行为（受一些缓存影响，一直以为每次读缓存也会刷新缓存失效时间）。

可以参见源码：

org.springframework.cache.interceptor.CacheAspectSupport#execute(org.springframework.cache.interceptor.CacheOperationInvoker, java.lang.reflect.Method, org.springframework.cache.interceptor.CacheAspectSupport.CacheOperationContexts)


private Object execute(final CacheOperationInvoker invoker, Method method, CacheOperationContexts contexts) {
		// Special handling of synchronized invocation
		if (contexts.isSynchronized()) {
			CacheOperationContext context = contexts.get(CacheableOperation.class).iterator().next();
			if (isConditionPassing(context, CacheOperationExpressionEvaluator.NO_RESULT)) {
				Object key = generateKey(context, CacheOperationExpressionEvaluator.NO_RESULT);
				Cache cache = context.getCaches().iterator().next();
				try {
					return wrapCacheValue(method, cache.get(key, () -> unwrapReturnValue(invokeOperation(invoker))));
				}
				catch (Cache.ValueRetrievalException ex) {
					// The invoker wraps any Throwable in a ThrowableWrapper instance so we
					// can just make sure that one bubbles up the stack.
					throw (CacheOperationInvoker.ThrowableWrapper) ex.getCause();
				}
			}
			else {
				// No caching required, only call the underlying method
				return invokeOperation(invoker);
			}
		} 

		// Process any early evictions
		processCacheEvicts(contexts.get(CacheEvictOperation.class), true,
				CacheOperationExpressionEvaluator.NO_RESULT);

		// Check if we have a cached item matching the conditions
		Cache.ValueWrapper cacheHit = findCachedItem(contexts.get(CacheableOperation.class));

		// Collect puts from any @Cacheable miss, if no cached item is found
		List<CachePutRequest> cachePutRequests = new LinkedList<>();
		if (cacheHit == null) {
			collectPutRequests(contexts.get(CacheableOperation.class),
					CacheOperationExpressionEvaluator.NO_RESULT, cachePutRequests);
		}
		Object cacheValue;
		Object returnValue;

		if (cacheHit != null && !hasCachePut(contexts)) {
			// If there are no put requests, just use the cache hit
			cacheValue = cacheHit.get();
			returnValue = wrapCacheValue(method, cacheValue);
		}
		else {
			// Invoke the method if we don't have a cache hit
			returnValue = invokeOperation(invoker);
			cacheValue = unwrapReturnValue(returnValue);
		}

		// Collect any explicit @CachePuts
		collectPutRequests(contexts.get(CachePutOperation.class), cacheValue, cachePutRequests);

		// Process any collected put requests, either from @CachePut or a @Cacheable miss
		for (CachePutRequest cachePutRequest : cachePutRequests) {
			cachePutRequest.apply(cacheValue);
		}

		// Process any late evictions
		processCacheEvicts(contexts.get(CacheEvictOperation.class), false, cacheValue);
		return returnValue;
	}

因此如果我们需要自行控制缓存失效策略，就可能需要一些开发工作，具体如下。