How to implement cache in Spring Boot: Best Guide

Caching is essential for enhancing the performance of your Spring Boot applications. By reducing repetitive data processing and database calls, caching can make your applications run faster and smoother. In this article, I’ll show you how to implement caching in Spring Boot using simple steps and code examples. Follow along, and by the end, you’ll be confident in optimizing your application for speed.

Why Caching Matters in Spring Boot Applications

Imagine your application needs to fetch the same data repeatedly. Without caching, each request hits the database or recalculates the data, consuming time and resources. Caching solves this by storing frequently accessed data temporarily, reducing response time and server load.

Benefits of Caching:

• Improved Speed: Faster response times for repeated requests.
• Reduced Load: Less stress on databases and services.
• Better User Experience: Quick-loading apps lead to happier users.

Setting Up Caching in Spring Boot

Let’s dive into the steps to implement caching in your Spring Boot application:

1. Add Cache Dependencies: First, ensure that your pom.xml or build.gradle file includes the required caching dependency. For example, if you’re using Maven, add:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-cache</artifactId>
</dependency>

2. Enable Caching in Your Application: Use the @EnableCaching annotation in your main application class to activate Spring Boot’s cache support:

@SpringBootApplication
@EnableCaching
public class CachingApplication {
    public static void main(String[] args) {
        SpringApplication.run(CachingApplication.class, args);
    }
}

3. Configure a Cache Manager (Optional): Spring Boot supports different cache providers like Ehcache, Hazelcast, and Redis. By default, it uses a simple in-memory cache. You can customize it by defining a CacheManager bean:

@Configuration
public class CacheConfig {
    @Bean
    public CacheManager cacheManager() {
        return new ConcurrentMapCacheManager("myCache");
    }
}

Using Annotations to Implement Caching

Spring Boot simplifies caching through annotations:

• @Cacheable: Marks a method so that its result is cached.
• @CachePut: Updates the cache with new data.
• @CacheEvict: Removes data from the cache.

Example of @Cacheable Annotation: Here’s a simple example to demonstrate how @Cacheable works:

@Service
public class ProductService {
   @Cacheable("products")
   public Product getProductById(Long id) {
       // Simulate a delay to mimic database access
       try {
           Thread.sleep(2000);
       } catch (InterruptedException e) {
           e.printStackTrace();
       }
       return new Product(id, "Sample Product");
   }
}

What we did here — Explanation:

• The first time getProductById is called, it fetches the data and stores it in the “products” cache.
• Subsequent calls with the same id will return the cached data, skipping the delay.

Managing Cache Data

Managing the cache involves updating and evicting outdated or unnecessary data:

Using @CachePut to Update Cache:

@CachePut(value = "products", key = "#product.id")
public Product updateProduct(Product product) {
    // Logic to update product in database
    return product;
}

Using @CacheEvict to Clear Cache:

@CacheEvict(value = "products", allEntries = true)
public void clearCache() {
    // Logic to clear all entries in the "products" cache
}

Best Practices for Caching in Spring Boot

1. Choose the Right Cache Store: In-memory cache (default) works for simple apps, but consider Redis or Ehcache for more complex applications.
2. Set Expiry Policies: Configure cache expiration to avoid stale data.
3. Monitor Cache Performance: Use monitoring tools to assess cache hit/miss ratios.

Adding Cache Expiry Settings

For advanced caching strategies, you can specify cache expiry policies:

spring:
  cache:
    type: caffeine
caffeine:
  spec: maximumSize=500,expireAfterAccess=10m

Conclusion

Implementing caching in Spring Boot can make your applications significantly faster and more efficient. By following the steps outlined above and leveraging annotations like @Cacheable, you can boost performance, reduce load, and create a smoother experience for users. Remember, a well-optimized cache strategy is essential for any high-performing app.

Join us on Beingcoders now!
Don't miss -

• From Monolith to Microservices: Scaling Applications with Java and Angular

• The Future of Java: Trends and Predictions