📌 README.md md Copy Edit

🏗️ Spring Boot Thread-Safe TTL Cache API

This repository provides a Spring Boot starter project for implementing a Thread-Safe In-Memory Cache with TTL (Time-To-Live) Eviction.

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🛠️ Installation & Setup

1️⃣ Prerequisites

Ensure you have the following installed:

• Java 17+ → Download JDK
• Maven → Install Maven
• Git → Install Git
• An API testing tool like Postman or cURL

2️⃣ Clone the Repository

git clone https://github.com/BUNara/JavaTTLCache.git

cd JavaTTLCache

3️⃣ Build the Project

mvn clean install

4️⃣ Run the Spring Boot Application

mvn spring-boot:run

http://localhost:8080

📌 Task Overview

Your task is to implement a thread-safe in-memory cache that supports:

1️⃣ Storing key-value pairs

2️⃣ Retrieving values from the cache

3️⃣ Automatically expiring cache entries after a specified TTL (Time-To-Live)

4️⃣ Exposing REST API endpoints to interact with the cache

📌 Requirements

The cache should be thread-safe and handle concurrent access.

Entries should expire automatically after 60 seconds.

The cache should be accessible via a REST API with the following endpoints:

API Endpoints

Method Endpoint Description

• PUT /cache/{key} Stores a value in the cache
• GET /cache/{key} Retrieves a value (returns 404 if expired)
• DELETE /cache/{key} Removes a value from the cache

📂 Project Structure

.
JavaTTLCache/
│── src/main/java/com/example/ttlcache/
│   ├── CacheService.java      # Implement your caching logic here
│   ├── CacheController.java   # Implement API endpoints here
│── src/main/resources/
│   ├── application.properties # Configuration settings (optional)
│── pom.xml                    # Maven dependencies
│── README.md                   # Instructions for candidates

📩 Submitting Your Solution

Fork this repository.

Implement your solution in CacheService.java and CacheController.java.

Push your changes and share the GitHub repo link.

📌 Notes

You can use any approach to ensure thread safety and TTL expiration.

Follow REST API best practices.

The correctness, performance, and maintainability of your solution will be evaluated.

🚀 Good luck! Looking forward to your implementation!