MongoDB Pagination: Sorting and Limiting Data Efficiently

Implement Pagination for a Product Collection

Write a MongoDB query to paginate products sorted by price ascending, displaying 10 products per page. Retrieve the second page.

Expected output: A list of 10 products sorted by price, starting from the 11th product.

Hint: Use sort(), skip(), and limit() methods appropriately.

Optimize Pagination for Large Collections

Refactor a pagination query that uses skip() to use range-based pagination instead.

Expected output: A query that efficiently retrieves pages without using skip().

Hint: Use a filter on an indexed field like _id to fetch the next page.

The skip() function causes MongoDB to scan and discard the skipped documents, which can lead to slower performance especially with large skip values.

Range-based pagination using a filter on a sorted indexed field (e.g., _id or timestamp) is more efficient than skip() for large datasets.

Sorting ensures that the order of documents is consistent across pages, preventing duplicates or missing items when navigating through pages.