SpringBoot Redis Cache Annotation

Problem Solved

SpringBoot services often need method-level caching, but manual Redis get/set logic can scatter key rules, parameter fingerprinting, null handling, and complex-object serialization across business code. This skill turns that concern into an annotation, so developers can mark methods with @CacheResult and rely on generated AOP behavior.

How It Works

It generates cache components for an existing SpringBoot project: CacheResult, CacheResultAspect, CacheKeyGenerator, RedisConfig, and CacheNullValue. Keys can come from a plain key, a SpEL expression, or a default strategy based on class, method, and parameter digest. TTL is controlled through cacheTime and cacheTimeUnit. Complex objects are serialized with GenericJackson2JsonRedisSerializer, while cache failures are kept from breaking the main business path.

Boundaries

It fits SpringBoot + Redis projects where method return values need caching, especially query acceleration and parameter-object key generation. It does not replace distributed locks, session management, or cross-entity invalidation strategies. If cache keys depend on runtime context or require coordinated invalidation, the application still needs explicit business-side control.