Spring boot redis cache tutorial

When developing applications with Spring Bootspring boot redis cache tutorial, one has to consider an important aspect that arises with the usage of persistent, non-in-memory databases such as PostgreSQL: performance. Depending on the amount and type of data, as well as the access times to the storage devices, one might find that in a production environment, access times to frequently needed data are a significant bottleneck to the entire application.

Many a time, we all come to a phase when our application does not perform well as it is expected to. Apart from several other solutions, we also look for a caching technique to make DB calls faster. In order to make it possible, we have Redis Cache technique in place. Redis cache helps us by minimizing the number of network calls while accessing the data from DB. Moreover, apart from Cache, Redis can also be used as a database and Message Broker. Redis is an open source BSD licensed in-memory remote data structure store database that offers high performance, replication, and a unique data model.

Spring boot redis cache tutorial

As a junior developer, you've likely heard about Redis and Spring Boot, two powerful technologies that can supercharge your applications. Redis is an in-memory data store known for its speed and versatility, while Spring Boot simplifies Java application development. We'll also delve into the various types of values you can store in Redis and the use cases for each. Before we dive into Redis and Spring Boot integration, make sure you have the following tools and knowledge:. If you're new to Spring Boot, consider going through some introductory tutorials first. Maven or Gradle: A basic understanding of build tools like Maven or Gradle is helpful for managing dependencies. Redis: Install and configure a Redis server on your local machine or use a cloud-based Redis service. You can find installation instructions for Redis on the official website. Spring Boot: Have a Spring Boot application set up. If you don't have one, you can quickly generate a Spring Boot project using Spring Initializr. To use Redis as a caching mechanism in your Spring Boot application, you need to include the Spring Data Redis library as a dependency in your project.

Moreover, apart from Cache, Redis can also be used as a database and Message Broker.

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When a service experiences a high volume of requests and the requested data remains static, a caching solution can significantly reduce response times and lighten the load on the service. Cache is a type of auxiliary memory that is specifically designed to hold data and instructions that are frequently accessed by applications or websites. Its fast and easy accessibility makes it a valuable tool in helping these applications and websites work faster. For more details, please visit: What is a Cache? That means, the response for following queries will be cached:. What we need is to add config package and a service for caching abstraction. Follow this instruction for setup Redis on your Machine.

Spring boot redis cache tutorial

In this tutorial, we will be discussing the integration of Redis cache with Spring Boot by developing a CRUD operation example using Jedis and spring boot starter data redis. In the tutorial, we will explore 2 different ways to perform CRUD operations. First, we will be defining our custom RedisTemplate and use HashOperations to perform get and put operations on Redis server.

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If you're using Maven, add the following dependency to your pom. EnableCaching ; import org. For example, we can provide a cache name by using the value or cacheNames attribute. Last Updated on December 29th, Redis is a versatile tool that, when used effectively, can elevate your application's capabilities and responsiveness. Additionally, make sure to create one serialVersionUID. There is a slight trade-off for this increased performance: you need to have more resources put aside for the in-memory cache. Happy coding! Leave a Reply Cancel reply. Link Text. You can find installation instructions for Redis on the official website. When developing applications with Spring Boot , one has to consider an important aspect that arises with the usage of persistent, non-in-memory databases such as PostgreSQL: performance.

Caching is the process of storing frequently accessed data to serve them quickly when needed.

In conclusion , integrating Redis with Spring Boot can significantly enhance your application's performance and functionality. Apart from several other solutions, we also look for a caching technique to make DB calls faster. Service Implementation Class:. To use Redis as a caching mechanism in your Spring Boot application, you need to include the Spring Data Redis library as a dependency in your project. By just enabling caching, the total response time is already halved. In another article, we will address the solution: Distributed Caching using Redis in Spring Boot applications. Kishan Bhimani - Dec 8 ' Here, we have defined two separate cache configurations. The Cacheable annotation offers us to use attributes. One request from an application to the DB is similar to one network call. Open link in a new tab. In a nutshell, Redis Cache minimizes the number of network calls made to your application and improves latency, which in return improves the overall performance of your system architecture.