Lesson 18/100

Tutorials MongoDB Tutorial

DeleteMany

DeleteMany: 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 18 of 100

DeleteMany

Foundations & CRUDQueries & SchemaAggregation & ScaleAtlas & Projects

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

What is this?

deleteMany removes every document matching the filter. It is powerful for cleanup jobs and dangerous without a tight filter.

Why should you care?

TTL-style cleanup of expired sessions, purging old notifications, or wiping a test tenant’s rows uses deleteMany.

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.notifications.insertMany([
  { userId: 1, read: true, msg: "Welcome" },
  { userId: 1, read: true, msg: "Sale" },
  { userId: 1, read: false, msg: "OTP" }
])
db.notifications.deleteMany({ userId: 1, read: true })
db.notifications.find({ userId: 1 })

Run Example »

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

Code
Result

What happened?

  • Both read notifications for user 1 are deleted.
  • The unread OTP remains.
  • find shows a single document.
  • modified bulk delete is intentional here.

Practice next

  1. Seed the three notifications.
  2. Run deleteMany and confirm deletedCount 2.
  3. Verify OTP still exists.
  4. Delete only msg: /Sale/.
  5. Count before and after with countDocuments.

Remember

deleteMany removes all matches. Always double-check the filter. Prefer ranged filters for cleanup jobs.

Clear read inbox older than 30 days

A nightly job deletes read notifications past a date for all users in batches.

Outcome: Storage stays flat without deleting unread OTPs.

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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