Senior
What cache did you use, tell me more about your caching experience?
sobes.tech AI
Answer from AI
In my Java caching experience, I have used several approaches and technologies:
- Ehcache — for local in-memory object caching with configurable TTL and maximum size.
- Redis — as a distributed cache for session storage and frequently requested data, supporting expiration and atomic operations.
- Spring Cache abstraction — to simplify cache integration into services with annotations
@Cacheable,@CachePut, and@CacheEvict.
Example of using Spring Cache with Ehcache:
@Service
public class ProductService {
@Cacheable(value = "products", key = "#id")
public Product getProductById(Long id) {
// Expensive operation, e.g., database query
return productRepository.findById(id).orElse(null);
}
}
Important points:
- Cache choice depends on scalability and consistency requirements.
- A cache invalidation strategy should be devised to prevent data from becoming stale.
- Caching significantly reduces database load and improves performance.