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spring-cache

Spring Boot 3.x的Spring Cache抽象。涵盖了@Cacheable、@CacheEvict、@CachePut、缓存管理器(Caffeine、Redis、EhCache)、TTL配置、缓存键、条件缓存和缓存同步。使用时机:用户提到“spring cache”、“@Cacheable”、“@CacheEvict”、“cache manager”、“Caffeine cache”、“@EnableCaching”、“cache abstraction”。不适用于:Redis操作 - 应改用`spring-data-redis`,分布式缓存架构 - 应与`redis`技能结合使用

person作者: jakexiaohubgithub

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

| Do | Don't | |----|-------| | Use Caffeine for single-instance | Skip TTL configuration | | Use Redis for distributed | Cache mutable objects | | Configure TTL always | Ignore cache eviction | | Use sync=true for expensive ops | Use high cardinality keys | | Implement cache metrics | Cache 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

| Error | Cause | Solution | |-------|-------|----------| | Cache not working | Internal call (same bean) | Use self-injection | | Null pointer | Null values cached | Use unless = "#result == null" | | Memory leak | TTL not configured | Set expireAfterWrite | | Serialization error | Non-serializable objects | Implement Serializable |


Anti-Patterns

| Anti-Pattern | Problem | Solution | |--------------|---------|----------| | Caching mutable objects | Stale data | Cache immutable data | | No TTL configured | Stale cache forever | Set expireAfterWrite | | @Cacheable on void | No effect | Only cache with return | | No cache sync | Race conditions | Use sync=true or locks |


Quick Troubleshooting

| Problem | Diagnostic | Fix | |---------|------------|-----| | Cache not working | Check @EnableCaching | Add annotation | | Wrong data cached | Check cache key | Define explicit key | | Cache not evicted | Check key expression | Verify key matches | | Self-invocation bypass | Same class call | Inject self |


Reference Files

| File | Content | |------|---------| | managers.md | Caffeine, Redis, EhCache, Key Generators | | advanced.md | Multi-Level, Metrics, Sync, Testing |


External Documentation