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Redis Distributed Cache Spring Boot | An Intro

by | Oct 1, 2023

Learn how to use Redis as a Distributed Cache for a Spring Boot application. Our Redis Support team is here to help you with your questions and concerns.

Redis Distributed Cache Spring Boot | An Intro

Did you know we can use Redis as a distributed cache to store and retrieve frequently used data to improve the performance and scalability of our Spring Boot application?

Redis Distributed Cache Spring Boot | An Intro

Redis is an in-memory data store that is often used as a cache due to its speed and versatility. Furthermore, when we integrate it with Spring Boot, it offers an easy way to implement caching.

Let’s take a look at how to set up and use Redis as a distributed cache in a Spring Boot application:

  • First, we have to add the needed dependencies to our Spring Boot project. We need the spring-boot-starter-data-redis dependency, which includes the Spring Data Redis library and the Redis driver for connecting to a Redis server.
  • Then, head to the application.properties or application.yml file and configure the connection to our Redis server. We have to specify the Redis host and port:

    spring.redis.host=your-redis-host
    spring.redis.port=6379

    Additionally, we can configure other properties like authentication, SSL, and connection pooling.

  • Next, we can use the @EnableCaching annotation to enable caching in our Spring Boot application. This is done by adding it to one of our configuration classes:

    Redis Distributed Cache Spring Boot | An Intro

  • Then, we can cache the results of a method by annotating it with @Cacheable. We can specify the name of the cache and a key generator:

    @Cacheable

    Here, the results of the expensiveOperation method are cached in a cache named “myCache.”

  • Furthermore, we can configure cache eviction strategies with the @CacheEvict annotation to remove entries from the cache when certain conditions are met.
  • Additionally, we can customize the caching behavior further by defining cache managers, specifying expiration times, and using different cache stores.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

In brief, our Support Experts demonstrated how to use Redis as a distributed cache to store and retrieve data of our Spring Boot application.

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