Learn MQL with Real Code Examples

Retrieve all users older than 25

Update product prices in bulk

Aggregate total sales per month

Create geospatial queries for nearby locations

Resolve slow queries with explain()

Handle duplicate key errors

Fix schema mismatch errors

Optimize aggregation pipelines

Use find() with filters for validation

Test aggregation pipelines on sample data

Monitor query performance with explain()

Write integration tests with in-memory MongoDB

Standalone MongoDB instance

Replica set for high availability

Sharded cluster for horizontal scaling

MongoDB Atlas managed deployment

MongoDB Compass GUI

mongosh CLI shell

MongoDB drivers for Node.js, Python, Java, C#, etc.

MongoDB Atlas cloud platform

Third-party visualization tools (Metabase, Tableau)

Node.js, Python, Java, C#, Go, PHP, Ruby

Express.js/Mongoose ODM

ETL pipelines (Kafka, Spark, Airflow)

GraphQL APIs

Cloud platforms (AWS, GCP, Azure)

Use aggregation pipelines for batch processing

Create indexes for frequently queried fields

Project only required fields

Reuse common query patterns in functions

Build a blog with users and posts collections

Aggregate sales and revenue reports

Optimize queries for large datasets

Implement a geospatial location search