How do you implement pagination in MongoDB?

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In MongoDB, pagination is used to split large datasets into manageable chunks when retrieving documents. It helps in improving performance and user experience by loading only a subset of records at a time rather than the entire collection. The most common way is using the skip() and limit() methods. For example, if each page shows 10 records, page 1 uses db.collection.find().limit(10), page 2 uses db.collection.find().skip(10).limit(10), and page 3 skips 20, and so on. This approach works but can become slow for very large datasets because skip() must scan and discard many documents before returning results.

A more efficient method is range-based pagination using a filter with a sorted field (like _id or timestamp). For example, after fetching a page of results, you can remember the last document’s _id and fetch the next page with db.collection.find({_id: {$gt: lastId}}).limit(10). This avoids the overhead of skip() and scales better.

In frameworks like Mongoose, pagination is often implemented using plugins like mongoose-paginate-v2, which provide page, limit, totalDocs, and totalPages in the response.

Thus, pagination in MongoDB can be done using:

1. skip() + limit() (simple but less efficient).

2. Range-based queries (efficient for large datasets).

3. Aggregation pipelines with $facet for advanced pagination.

👉 Would you like me to also show you a Node.js + Mongoose code example implementing both skip-limit and range-based pagination?

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