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. 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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