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. 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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