Are you looking to optimize location-based services in your Java Spring Boot application? Whether you're building an app like Zomato or an e-commerce platform, efficiently finding the closest locations is crucial. I've just published a comprehensive guide that dives into distance calculations and optimization strategies that can significantly improve your application's performance.

Overview:
In my latest article, I detail methods for efficiently finding the nearest locations from a cluster of coordinates. The guide covers techniques like bounding box filtering and using the ST_Distance function. A key highlight is the performance optimization I achieved—reducing query response time from 6 seconds to just 0.3 seconds for 1 million records. This guide is designed to enhance both performance and scalability, making it a valuable resource for developers working with location-based services.

Curious to learn more? Dive into the full article on Medium for an in-depth look at optimizing your location-based services. Read the full article here!

I’d love to hear your thoughts on these techniques. Have you used similar approaches in your projects? Share your experiences and questions in the comments below!