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REST API Response Pagination, Sorting, and Filtering
Handling large datasets in REST APIs efficiently requires pagination, sorting, and filtering. These techniques improve performance, reduce response sizes, and enhance the user experience.
This guide covers:
✔ What is Pagination, Sorting, and Filtering?
✔ Why Use Pagination, Sorting, and Filtering?
✔ Implementing Pagination, Sorting, and Filtering in Spring Boot
✔ Best Practices for Optimizing API Responses
🔹 Why Use Pagination, Sorting, and Filtering?
✅ Reduces server load — Limits data returned in API responses.
✅ Enhances performance — Fetches only required records instead of full datasets.
✅ Improves user experience — Enables clients to navigate large datasets easily.
Example Scenario:
Imagine an e-commerce API listing 100,000 products. Without pagination, a GET /products
request would return all records, slowing down responses.
✅ Solution? Implement pagination, sorting, and filtering to optimize API performance!