MongoDB with Python: Using PyMongo for Database Operations

Insert and Query Documents

Write a Python script using PyMongo to insert multiple documents into a collection and query them based on a field.

Expected output: Printed documents matching the query filter.

Hint: Use insert_many() for multiple inserts and find() with a filter for querying.

Create an Index and Measure Performance

Create an index on a frequently queried field and compare query performance before and after indexing.

Expected output: Demonstrated improved query speed after indexing.

Hint: Use create_index() and time your queries using Python's time module.

Build an Aggregation Pipeline

Construct an aggregation pipeline to group documents by a field and calculate counts.

Expected output: Aggregated results printed showing counts per group.

Hint: Use $group and $sum stages in the pipeline.

PyMongo is the official Python driver for MongoDB, used to connect Python applications to MongoDB databases and perform database operations.

Use the insert_one() method on a collection object, passing the document as a dictionary.

Indexes improve query performance by allowing MongoDB to quickly locate documents without scanning the entire collection.