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.

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.

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.

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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. This will support Java Redis client to interact with Redis server.

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. 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.

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You can find installation instructions for Redis on the official website. Search or use up and down arrow keys to select an item. We apply this annotation at the main class starter class of our application in order to tell Spring Container that we need a caching feature in our application. Showing recent items. Linux and OS X are the two operating systems where Redis is developed and tested the most. 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. If you're new to Spring Boot, consider going through some introductory tutorials first. Are you sure you want to hide this comment? Open link in a new tab. We apply it on the methods that get retrieve data from DB. Maven or Gradle: A basic understanding of build tools like Maven or Gradle is helpful for managing dependencies.

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.

This is the step by step approach to implement the Redis Cache in our application. 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. If we do not specify the key, Spring utilizes its default mechanism to create the key. Cacheable is used to fetch retrieve data from the DB to the application and store in Redis Cache. We can see that every request which is done after the first request has pended — roughly 2. The second request would try to fill the cache again. As a cache manager, it reduces network calls and improves the performance of an application. In our single instance application example, we would already be done. However, we have used Postman just to test the functionality. It is safe to say most applications will never have access times this large.