Spring boot redis cache tutorial

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 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.

Spring boot redis cache tutorial

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. 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. Redis is an open source BSD licensed , in-memory data store. It can be used as a database, cache, message broker or streaming engine. As mentioned above, the main reason to use caching is for performance. Redis Cache works as an in-memory cache, meaning that any data that is cached is stored on RAM. More importantly, it offers significantly more data transfers per second. For the end user of your application, this means a faster and more responsive user experience. There is a slight trade-off for this increased performance: you need to have more resources put aside for the in-memory cache. However, since you will have significantly less hits on your actual database, you will certainly end up saving resources when dealing with lots of frequent requests on the same URI. 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. To use Redis Cache in Spring Boot, you first need to add the spring-boot-starter-cache and spring-boot-starter-data-redis dependencies to your project. We will use Maven as our project management tool for this example:. Spring Boot will now auto-configure the cache according to the default RedisCacheConfiguration.

Strings : Use for simple key-value storage, such as caching, configuration, or counters. Additionally, make sure to create one serialVersionUID.

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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. Next, we will be using Cacheable annotation to enable implicit caching mechanism by Spring Boot and upon cache miss, the lookup will be done in the DB with spring boot starter data jpa. Redis is an in-memory data structure store implementing a distributed, in-memory key-value database with optional durability. It can be used as a database, cache or as a message broker. Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence. Redis is best suited for caching in a distributed system and in this age of microservices Redis cache is very useful. First of all, we need to have Redis server running and we should have the connection properties such as host, port, password, etc.

Spring boot redis cache tutorial

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.

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There is one special case that needs consideration. Useful in scenarios like user profiles and storing JSON data. However, we are going to provide the complete code of each file. EnableCaching ; import org. The Cacheable annotation offers us to use attributes. Redis: Install and configure a Redis server on your local machine or use a cloud-based Redis service. Moreover, apart from Cache, Redis can also be used as a database and Message Broker. Use cases include tracking tags, followers, and likes. Service Implementation Class:. It can be used as a database, cache, message broker or streaming engine. For that our entity class is Invoice. As mentioned above, the main reason to use caching is for performance. If you don't have one, you can quickly generate a Spring Boot project using Spring Initializr.

Caching is the process of storing frequently accessed data to serve them quickly when needed. It reduces the response time of service and a load of requests to handle by a service. You need a caching solution when your service receives many requests and the data requested doesn't change much.

Are you sure you want to hide this comment? Next, configure your Redis connection in application. Not great! Suitable for leaderboards, rankings, and time-based data. However, we have used Postman just to test the functionality. The full form of Redis is Remote Directory Server. Hide child comments as well Confirm. The second request would try to fill the cache again. Summary Why use Redis as a cache in Spring? By just enabling caching, the total response time is already halved. It is safe to say most applications will never have access times this large. You may also add your own custom configuration by configuring the RedisCacheConfiguration bean:. We can also achieve the better scaling once we apply any caching mechanism in the application as the database can serve more calls in this case. 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.