Enterprise Java

Spring Boot Transaction-Aware Caching Example

Caching stands as a crucial technique in application development, enhancing performance and alleviating strain on databases and other resources. Within the Spring Framework, leveraging transaction-aware caching safeguards data consistency while maximizing caching benefits. Let’s delve into understanding the nuances of Spring’s transaction-aware caching.

1. Understanding Transaction-Aware Caching

Transaction-aware caching is a sophisticated technique employed in software development to enhance performance and maintain data consistency within applications. In the context of the Spring Framework, transaction-aware caching plays a pivotal role in optimizing database operations while ensuring the integrity of data transactions.

1.1 How Does Transaction-Aware Caching Work?

In traditional caching mechanisms, data retrieved from databases or other resources is stored temporarily in memory to expedite subsequent requests for the same data. However, in transaction-aware caching, caching operations are synchronized with database transactions. Here’s how it typically works:

  • Cache Population: When data is fetched from the database within a transaction, it is simultaneously stored in the cache.
  • Cache Invalidation: If the transaction is successful, the cached data remains valid. However, if the transaction fails or is rolled back, the cached data is invalidated to maintain data consistency.

1.2 Benefits of Transaction-Aware Caching

Utilizing transaction-aware caching in Spring applications offers several advantages:

  • Improved Performance: By reducing the need to repeatedly access the database, transaction-aware caching significantly improves application response times.
  • Data Consistency: Transactions and caching are synchronized, ensuring that cached data accurately reflects the current state of the database.
  • Reduced Database Load: With frequently accessed data stored in memory, transaction-aware caching alleviates strain on database resources, leading to better scalability and resource utilization.

2. Setting Up Transaction-Aware Caching in Spring Boot

Transaction-aware caching is a powerful technique for enhancing application performance while maintaining data consistency. Let’s start by setting up our Spring Boot application:

2.1 Configure Cache Provider

The first step is to specify the cache provider in your Spring Boot application. Spring Boot supports various caching providers such as Ehcache, Redis, and Hazelcast. You can configure the desired cache provider in the application.properties file:


In this example, we’re using Ehcache as the caching provider.

2.2 Enable Caching Support

Next, enable caching support in your Spring Boot application. You can do this by annotating your main application class with @EnableCaching:

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;

public class MyApplication {

    public static void main(String[] args) {
        SpringApplication.run(MyApplication.class, args);

This annotation enables Spring’s caching support in your application.

2.3 Define Caching Configuration

Define caching configuration by creating a bean that specifies caching behavior. You can customize caching settings such as cache names, expiration policies, and eviction strategies.

import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.cache.ehcache.EhCacheManagerFactoryBean;

public class CacheConfig {

    public EhCacheManagerFactoryBean ehCacheManagerFactory() {
        EhCacheManagerFactoryBean cacheManagerFactory = new EhCacheManagerFactoryBean();
        cacheManagerFactory.setConfigLocation(new ClassPathResource("ehcache.xml"));
        return cacheManagerFactory;

In this example, we’re specifying the location of the Ehcache configuration file (ehcache.xml). You can customize this file according to your caching requirements.

2.4 Implement Transaction-Aware Caching

To make your caching transaction-aware, annotate your service methods with @Transactional and @Cacheable annotations. The @Transactional annotation ensures that caching and database transactions are synchronized.

import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

public class DataService {

    @Cacheable(value = "dataCache", key = "#id")
    public Data fetchDataById(Long id) {
        // Method logic to fetch data from the database

In this example, the @Cacheable annotation caches the result of the fetchDataById method based on the provided cache name (“dataCache”) and method parameter (“id”). The @Transactional annotation ensures that the caching operation is synchronized with the database transaction.

3. Run the Spring boot application

Run the following command:

mvn spring-boot:run

The application initiates on the default port, which is set to 8080. Modifying the server port is achievable by adjusting the port number in the application.properties file.

4. Conclusion

Transaction-aware caching is a crucial optimization technique for enhancing the performance and data consistency of Spring Boot applications. By synchronizing caching operations with database transactions, transaction-aware caching ensures that cached data remains accurate and up-to-date.

Implementing transaction-aware caching involves configuring the cache provider, enabling caching support, defining caching configuration, and annotating service methods with appropriate annotations. Through these steps, developers can leverage the benefits of caching while maintaining the integrity of critical data operations.

By adopting transaction-aware caching, developers can achieve significant improvements in application response times, reduce database load, and enhance scalability. This technique is particularly valuable in scenarios where performance optimization and data consistency are paramount concerns.

In conclusion, transaction-aware caching is a powerful tool that enables Spring Boot applications to achieve optimal performance while ensuring data integrity, ultimately contributing to a better user experience and more efficient resource utilization.

Yatin Batra

An experience full-stack engineer well versed with Core Java, Spring/Springboot, MVC, Security, AOP, Frontend (Angular & React), and cloud technologies (such as AWS, GCP, Jenkins, Docker, K8).
Notify of

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Inline Feedbacks
View all comments
Back to top button