MongoDB Coding Challenges - Practice Exercises

Find Products Priced Above $100

Write a MongoDB query to find all products with a price greater than 100.

Expected output: Documents of products where price > 100.

Hint: Use the $gt operator on the price field.

Calculate Total Sales per Category

Use an aggregation pipeline to group sales by category and calculate the total sales amount.

Expected output: List of categories with their total sales.

Hint: Use $group with _id as category and $sum accumulator.

Update User Email Domain

Update all users with email domain 'oldmail.com' to 'newmail.com'.

Expected output: Users' email domains updated accordingly.

Hint: Use updateMany() with a regex filter and $set operator.

find() is used for simple queries to retrieve documents, while aggregate() allows complex data processing and transformations using a pipeline of stages.

Use updateMany() with a filter to specify which documents to update and the update operators to modify fields.

$group groups documents by a specified key and allows calculation of aggregates like sum, average, min, and max.