pagination

Cursor-based pagination is implemented by using a stable sort field as a cursor to fetch subsequent data chunks. This Skill provides scripts for both TypeScript and Python to retrieve large datasets efficiently without skipping records during real-time updates.

Offset pagination suits direct page jumping, while cursor pagination ensures fast, consistent retrieval for real-time data. This Skill implements both API strategies and includes database indexing recommendations to optimize query performance for your specific use case.

Yes, cursor pagination integrates seamlessly with frontend data fetching libraries like react-query. The Skill provides integration examples demonstrating how to connect API endpoints to infinite scroll feeds on platforms such as social media or e-commerce applications.

Database pagination slows down because large offsets require scanning and discarding many rows before returning results. This Skill addresses the issue by providing cursor-based pagination strategies and essential database indexing guidance for optimal query performance.

You need database indexing for API pagination whenever retrieving large datasets to prevent full table scans and ensure stable sorting. This Skill includes specific database indexing recommendations required for optimal cursor and offset pagination performance.

Offset pagination is generally not recommended for infinite scroll feeds because data insertions can cause records to shift and duplicate. Cursor pagination is the preferred strategy for infinite scroll, providing consistent retrieval for real-time data.