Lesson 28/100

Tutorials MongoDB Tutorial

Sorting

Sorting: 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 28 of 100

Sorting

Foundations & CRUD ✓Queries & SchemaAggregation & ScaleAtlas & Projects

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

What is this?

sort orders cursor results. Pass { field: 1 } for ascending or { field: -1 } for descending. You can sort by multiple fields. Indexes can support sort without in-memory work.

Why should you care?

Feeds show newest first, leaderboards show score descending, and catalogs sort by price — users expect stable ordering.

See it live — copy this example

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

db.products.insertMany([
  { name: "A", price: 500, rating: 4.2 },
  { name: "B", price: 500, rating: 4.8 },
  { name: "C", price: 300, rating: 4.5 }
])
db.products.find().sort({ price: 1, rating: -1 })
db.products.find().sort({ rating: -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?

  • First sort: lowest price first; for same price, higher rating first — order C, then B, then A.
  • Second query returns the top two ratings.
  • limit pairs naturally with sort.

Practice next

  1. Insert the three products.
  2. Run both sorts and write down the order.
  3. Create index { price: 1, rating: -1 } and explain the first query.
  4. Sort name alphabetically.
  5. Combine sort with skip for pages.

Remember

1 = ascending, -1 = descending. Multi-field sort breaks ties. Index sorts for hot paths.

App Store-like ranking

A learning app sorts courses by rating desc then enrollments desc.

Outcome: Home screen shows strongest courses first.

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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