spring-cache

v2026.09.24

Spring Cache abstraction for Spring Boot 3.x. Covers @Cacheable, @CacheEvict, @CachePut, cache managers (Caffeine, Redis, EhCache), TTL configuration, cache keys, conditional caching, and cache synchronization. USE WHEN: user mentions "spring cache", "@Cacheable", "@CacheEvict", "cache manager", "Caffeine cache", "@EnableCaching", "cache abstraction" DO NOT USE FOR: Redis operations - use `spring-data-redis` instead, distributed caching architecture - combine with `redis` skill

GitHub
安装命令
npx skhub add claude-dev-suite/spring-cache
Markdown
SKILL.md

Spring Cache

Quick Start

@SpringBootApplication
@EnableCaching
public class Application {}

@Service
public class UserService {

    @Cacheable("users")
    public User findById(Long id) {
        return userRepository.findById(id).orElseThrow();
    }

    @CacheEvict(value = "users", key = "#id")
    public void deleteUser(Long id) {
        userRepository.deleteById(id);
    }
}
spring:
  cache:
    type: caffeine
    caffeine:
      spec: maximumSize=1000,expireAfterWrite=10m

Cache Annotations

@Cacheable

@Cacheable("products")
public Product findById(Long id) { }

@Cacheable(value = "products", key = "#category + '-' + #status")
public List<Product> findByCategoryAndStatus(String category, String status) { }

@Cacheable(value = "products", condition = "#id > 0")
public Product findByIdConditional(Long id) { }

@Cacheable(value = "products", unless = "#result == null")
public Product findByIdUnlessNull(Long id) { }

@Cacheable(value = "products", sync = true)  // One thread populates
public Product findByIdSync(Long id) { }

@CacheEvict

@CacheEvict(value = "products", key = "#id")
public void deleteProduct(Long id) { }

@CacheEvict(value = "products", allEntries = true)
public void clearProductCache() { }

@CacheEvict(value = "products", key = "#id", beforeInvocation = true)
public void deleteProductBeforeInvocation(Long id) { }

@CachePut

@CachePut(value = "products", key = "#product.id")
public Product saveProduct(Product product) {
    return productRepository.save(product);
}

@CachePut(value = "products", key = "#result.id")
public Product createProduct(CreateProductRequest request) {
    return productRepository.save(new Product(request));
}

@Caching (Multiple Operations)

@Caching(
    put = {
        @CachePut(value = "products", key = "#result.id"),
        @CachePut(value = "productsBySku", key = "#result.sku")
    },
    evict = {
        @CacheEvict(value = "productList", allEntries = true)
    }
)
public Product createProduct(CreateProductRequest request) { }

@CacheConfig (Class-Level)

@Service
@CacheConfig(cacheNames = "products", keyGenerator = "customKeyGenerator")
public class ProductService {

    @Cacheable  // Uses class config
    public Product findById(Long id) { }

    @Cacheable(cacheNames = "inventory")  // Override cache name
    public Inventory getInventory(Long productId) { }
}

Full Reference: See managers.md for Caffeine, Redis, EhCache configurations.


Quick Cache Manager Setup

Caffeine (Single Instance)

@Bean
public CacheManager cacheManager() {
    CaffeineCacheManager manager = new CaffeineCacheManager();
    manager.setCaffeine(Caffeine.newBuilder()
        .maximumSize(10_000)
        .expireAfterWrite(Duration.ofMinutes(10))
        .recordStats());
    return manager;
}

Redis (Distributed)

@Bean
public CacheManager cacheManager(RedisConnectionFactory factory) {
    RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
        .entryTtl(Duration.ofMinutes(10))
        .serializeValuesWith(SerializationPair
            .fromSerializer(new GenericJackson2JsonRedisSerializer()));

    return RedisCacheManager.builder(factory)
        .cacheDefaults(config)
        .build();
}

Full Reference: See advanced.md for Multi-Level Caching, Metrics, Synchronization.


Best Practices

DoDon't
Use Caffeine for single-instanceSkip TTL configuration
Use Redis for distributedCache mutable objects
Configure TTL alwaysIgnore cache eviction
Use sync=true for expensive opsUse high cardinality keys
Implement cache metricsCache sensitive data unencrypted

Production Checklist

  • Cache provider configured (Caffeine/Redis)
  • TTL configured for every cache
  • Cache eviction on write operations
  • Metrics configured
  • Serialization tested
  • Distributed lock for critical ops

When NOT to Use This Skill

  • Distributed caching - Use spring-data-redis
  • Redis operations - Use redis skill
  • Session storage - Use Spring Session

Common Pitfalls

ErrorCauseSolution
Cache not workingInternal call (same bean)Use self-injection
Null pointerNull values cachedUse unless = "#result == null"
Memory leakTTL not configuredSet expireAfterWrite
Serialization errorNon-serializable objectsImplement Serializable

Anti-Patterns

Anti-PatternProblemSolution
Caching mutable objectsStale dataCache immutable data
No TTL configuredStale cache foreverSet expireAfterWrite
@Cacheable on voidNo effectOnly cache with return
No cache syncRace conditionsUse sync=true or locks

Quick Troubleshooting

ProblemDiagnosticFix
Cache not workingCheck @EnableCachingAdd annotation
Wrong data cachedCheck cache keyDefine explicit key
Cache not evictedCheck key expressionVerify key matches
Self-invocation bypassSame class callInject self

Reference Files

FileContent
managers.mdCaffeine, Redis, EhCache, Key Generators
advanced.mdMulti-Level, Metrics, Sync, Testing

External Documentation

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

skills/backend-frameworks/spring-cache

默认分支

main

最新提交

9496306

Tree SHA

fe4e2f1