Lesson 29/100

Tutorials MongoDB Tutorial

Pagination

Pagination: free step-by-step lesson with examples, common mistakes, and interview tips — part of MongoDB Tutorial on Toolliyo Academy.

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MongoDB Tutorial · Lesson 29 of 100

Pagination

Foundations & CRUD ✓Queries & SchemaAggregation & ScaleAtlas & Projects

Queries & Schema · 2 — Design · ~6 min · MongoDB — Query Operators

What is this?

Pagination returns a slice of results using limit and skip, or better, range queries on _id/createdAt (cursor pagination). skip becomes slow on deep pages.

Why should you care?

Product grids and chat history cannot load millions of docs at once. Page size 20 keeps APIs snappy on mobile networks in India.

See it live — copy this example

Open mongosh or MongoDB Compass, select database nosqlverse, then run the example. Change one field and run again.

// Page 1 and 2 with skip (ok for small data)
db.products.find().sort({ _id: 1 }).skip(0).limit(2)
db.products.find().sort({ _id: 1 }).skip(2).limit(2)

// Cursor-style next page after lastId
db.products.find({ _id: { $gt: ObjectId("64f000000000000000000002") } })
  .sort({ _id: 1 })
  .limit(2)

Run Example »

Edit the code below and click Run to see the result in Toolliyo’s live editor.

Code
Result

What happened?

  • skip/limit implements classic pages.
  • Cursor pagination asks for _id greater than the last seen id — scales better because it uses the index instead of skipping thousands.

Practice next

  1. Insert 6 products.
  2. Fetch page size 2 with skip 0, 2, 4.
  3. build next-page using $gt on the last _id.
  4. Paginate by createdAt: -1 with $lt cursor.
  5. Return nextCursor in a mock API response shape.

Remember

limit caps page size. skip works for small offsets. Prefer cursor pagination for infinite scroll.

Flipkart product grid pages

Category API returns 24 items and a nextCursor based on sort keys.

Outcome: Shoppers scroll smoothly without duplicates when filters stay the same.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain SQL queries in the context of MongoDB.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define SQL queries in plain languag…
Mid Detailed
What are common mistakes teams make with Schema design when using MongoDB?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Schema design in plain langu…
Senior Detailed
How would you debug a production issue related to Transactions in a MongoDB application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Transactions in plain langua…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Indexing in plain language f…
Junior Detailed
Describe a real-world scenario where Normalization mattered in a MongoDB project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. How to structure your answer (60–90 seconds) Define Normalization in plain langu…
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MongoDB Tutorial
Course syllabus

MongoDB Tutorial

MongoDB — Foundations
MongoDB — CRUD Operations
MongoDB — Query Operators
MongoDB — Schema Design
MongoDB — Indexing & Performance
MongoDB — Aggregation Pipelines
MongoDB — Replication & Sharding
MongoDB — Atlas & Security
MongoDB — Modern Features
MongoDB — Real-World Projects
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