Lesson 16/100

Tutorials MongoDB Tutorial

ReplaceOne

ReplaceOne: 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 16 of 100

ReplaceOne

Foundations & CRUDQueries & SchemaAggregation & ScaleAtlas & Projects

Foundations & CRUD · 1 — Documents · ~6 min · MongoDB — CRUD Operations

What is this?

replaceOne swaps the entire document (except _id) with a new one. Unlike updateOne with $set, fields you omit are removed.

Why should you care?

Form “Save profile” screens sometimes send the full object. Replace makes the stored document match that snapshot exactly.

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.insertOne({ username: "kabir", city: "Delhi", bio: "old", score: 10 })
db.users.replaceOne(
  { username: "kabir" },
  { username: "kabir", city: "Mumbai", level: "pro" }
)
db.users.findOne({ username: "kabir" })

Run Example »

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

Code
Result

What happened?

  • After replaceOne, bio and score are gone because they were not in the replacement document.
  • city is Mumbai and level is new.
  • _id stays the same.

Practice next

  1. Insert kabir and replace as shown.
  2. Confirm bio is missing.
  3. Contrast with updateOne $set that keeps bio.
  4. Replace again adding bio back.
  5. Compare matchedCount when filter misses.

Remember

replaceOne overwrites the whole document. Omitted fields disappear. _id is preserved.

Admin edits full tenant config

A SaaS settings page posts the entire config object; the API replaceOne’s the tenants document.

Outcome: Removed toggles truly disappear instead of lingering as stale fields.

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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