Lesson 10/100

Tutorials MongoDB Tutorial

CRUD Basics

CRUD Basics: 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 10 of 100

CRUD Basics

Foundations & CRUDQueries & SchemaAggregation & ScaleAtlas & Projects

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

What is this?

CRUD means Create, Read, Update, Delete. In MongoDB that is insert, find, update/replace, and delete. Almost every feature you build starts with these four verbs on a collection.

Why should you care?

A chat app creates messages, reads a room history, updates “delivered”, and sometimes deletes for moderation. Master CRUD before aggregation and indexes.

See it live — copy this example

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

use NoSQLVerse
db.posts.insertOne({ title: "Hello NoSQLVerse", likes: 0 })
db.posts.find({ title: /NoSQLVerse/ })
db.posts.updateOne({ title: "Hello NoSQLVerse" }, { $set: { likes: 1 } })
db.posts.deleteOne({ title: "Hello NoSQLVerse" })

Run Example »

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

Code
Result

What happened?

  • insertOne creates.
  • find reads with a filter.
  • updateOne changes fields with $set.
  • deleteOne removes one match.

Practice next

  1. Run each line of the example in order.
  2. After updateOne, find again and confirm likes is 1.
  3. Re-insert a post and stop before delete to keep practice data.
  4. Use insertMany with two posts.
  5. Update likes with $inc: { likes: 1 } instead of $set.

Remember

Create = insert, Read = find, Update = update/replace, Delete = delete. Always pass a filter for update/delete in real apps. Practice CRUD on a scratch collection first.

Social feed basic loop

Instagram-like apps insert a post, followers read the feed, authors edit captions, and admins delete spam.

Outcome: Those four operations map 1:1 to MongoDB CRUD.

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. Explain a bit more How to structure your answer (60–90 seconds) Define SQL queri…
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. Explain a bit more How to structure your answer (60–90 seconds) Define Schema de…
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. Explain a bit more How to structure your answer (60–90 seconds) Define Transacti…
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. Explain a bit more How to structure your answer (60–90 seconds) Define Normaliza…
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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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