Best Practices for Using MongoDB with Python

Implement Connection Pooling

Create a Python script that connects to MongoDB using PyMongo with a configured connection pool and performs multiple queries efficiently.

Expected output: The script runs queries without opening new connections each time.

Hint: Use MongoClient with maxPoolSize parameter and reuse the client instance.

Design a MongoDB Schema

Design a schema for a blog application using MongoDB documents, deciding when to embed comments or reference them.

Expected output: A schema design document explaining embedding vs referencing choices.

Hint: Consider the number of comments per post and access patterns.

Add Indexes to Improve Query Performance

Analyze a sample query and create appropriate indexes in MongoDB using Python.

Expected output: Indexes created that reduce query execution time.

Hint: Use create_index method on fields used in filters or sorts.

Reusing a MongoClient instance enables connection pooling, which improves performance by reducing the overhead of establishing new connections for each operation.

Embedding related data reduces the need for joins, enabling faster read operations and simpler queries for one-to-few relationships.

Store credentials in environment variables or secret management systems instead of hardcoding them, and enable authentication and encrypted connections.