Lesson 25/100

Tutorials MongoDB Tutorial

Evaluation Operators

Evaluation Operators: 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 25 of 100

Evaluation Operators

Foundations & CRUD ✓Queries & SchemaAggregation & ScaleAtlas & Projects

Queries & Schema · 2 — Design · ~6 min · MongoDB — Query Operators

What is this?

Evaluation operators run expressions while querying: $regex, $expr, $jsonSchema, $mod, $text (with text index), and similar. $expr lets you compare two fields in one document.

Why should you care?

Business rules like “discount must be less than price” or “stock % 2 == 0” need evaluation, not only equality.

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.products.insertMany([
  { name: "Cable", price: 200, discount: 50 },
  { name: "Dock", price: 2000, discount: 2500 },
  { name: "Tape", price: 100, discount: 10 }
])
db.products.find({
  $expr: { $lt: ["$discount", "$price"] }
})
db.products.find({ price: { $mod: [100, 0] } })

Run Example »

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

Code
Result

What happened?

  • $expr compares discount and price fields — Dock is excluded because discount > price.
  • $mod: [100, 0] keeps prices divisible by 100.
  • Field paths inside $expr use $fieldName.

Practice next

  1. Insert the three products.
  2. Run the $expr query and confirm Dock is out.
  3. Run the $mod query.
  4. Find where $subtract price-discount > 1000 using $expr.
  5. Combine $expr with category equality.

Remember

$expr compares fields inside a document. $mod filters by remainder. Prefer simple operators when possible for indexes.

Promo sanity check

Before publishing deals, a job finds products where discount >= price using $expr.

Outcome: Broken promos never hit the storefront.

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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