Lesson 41/100

Tutorials MongoDB Tutorial

Single Field Indexes

Single Field Indexes: 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 41 of 100

Single Field Indexes

Foundations & CRUD ✓Queries & SchemaAggregation & ScaleAtlas & Projects

Queries & Schema · 2 — Design · ~6 min · MongoDB — Indexing & Performance

What is this?

A single field index stores one field’s values in sorted order so equality and range queries avoid scanning the whole collection. MongoDB always indexes _id.

Why should you care?

find({ email }) on millions of users without an index is a full collection scan — login and password-reset APIs will time out.

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.users.insertMany([
  { email: "a@nosqlverse.dev", city: "Pune" },
  { email: "b@nosqlverse.dev", city: "Goa" }
])
db.users.createIndex({ email: 1 }, { unique: true })
db.users.find({ email: "a@nosqlverse.dev" }).explain("executionStats")
db.users.getIndexes()

Run Example »

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

Code
Result

What happened?

  • createIndex on email builds an ascending index and enforces uniqueness.
  • explain should show IXSCAN.
  • getIndexes lists _id_ and email_1.

Practice next

  1. Create the unique email index.
  2. Find by email and inspect explain.
  3. Try inserting a duplicate email — expect error.
  4. Index city: 1 and query city ranges alphabetically.
  5. Create a sparse index on phone.

Remember

Single-field indexes speed filters on that field. unique prevents duplicates. Verify with explain IXSCAN.

Login by email

Auth service finds users by email on every sign-in.

Outcome: Unique index gives speed and blocks duplicate accounts.

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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