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Spring Boot Redis Cache — @Cacheable Complete Guide
🚀 Introduction
Caching is a crucial technique for optimizing application performance by reducing the number of redundant database queries. Spring Boot provides a seamless caching mechanism using the @Cacheable annotation, and Redis is one of the most powerful cache providers for handling high-performance caching in distributed applications.
This guide will walk you through implementing Spring Boot Redis Cache using @Cacheable, covering step-by-step setup, integration, and testing.
Imagine you run an e-commerce application, and every time a user visits a product page, the system fetches product details from the database. If thousands of users request the same product, database queries skyrocket, slowing down performance.
Solution? ✅ Spring Boot’s @Cacheable annotation!
Caching stores frequently accessed data in memory, reducing database calls and boosting performance. In this guide, we’ll cover how to:
✔ Use @Cacheable to store method results
✔ Configure Spring Boot caching
✔ Implement caching in a real-world application
1️⃣ What is @Cacheable in Spring Boot?
The @Cacheable annotation stores method results in a cache. When the same method is called again with the same parameters, the system returns the cached data instead of executing the method.
✔ Reduces database calls by storing frequently accessed data
✔ Improves response time by serving data from memory
✔ Works with multiple cache providers (Redis, Ehcache, Caffeine, etc.)
2️⃣ Redis Cache vs In-Memory Cache
Redis is the preferred choice for microservices and cloud-based applications due to its distributed caching capabilities.
Real-World Use Case — Caching Product Details in an E-Commerce App
Scenario:
🔹 A user requests product details from /api/products/{id}.
🔹 The first request fetches data from the database and caches it.
🔹 The next…
