Stop guessing if your data is correct! In this 2025 MongoDB tutorial, we’re going deep into JSON Schema Validation to show you how to enforce exact formats for strings (like emails and phone numbers) and strict ranges for numbers (like age or price).

This is essential for building production-ready apps where data integrity is non-negotiable. No more malformed emails or impossible negative prices in your database!

What we cover in this video:

Numeric Range Validation: Use minimum, maximum, and their exclusive counterparts to set boundaries.

Example: Ensuring an age field is between 18 and 120.

Example: Validating that a price is always greater than 0.

Pro-Tip: Learn the difference between bsonType: "int" and "double" when setting ranges.

String Pattern Validation (Regex): Use the pattern keyword to enforce specific formats.

Email Validation: A standard regex to ensure emails follow the [email protected] format.

Custom Formats: Validating SKU codes, zip codes, or custom IDs using Regular Expressions.

Length Constraints: Using minLength and maxLength to prevent empty strings or overly long entries.

Enum Validation: Creating a fixed list of allowed values.

Perfect for fields like status (e.g., ["pending", "shipped", "delivered"]) or userRole.

Testing Your Rules: We’ll show you exactly what happens in the Mongo Shell (mongosh) when a document fails validation. You'll see the error messages and learn how to debug them!

Updating Existing Collections: How to use the collMod command to add these strict rules to a collection that already has data.

By the end of this tutorial, you’ll be able to create a "smart" database that automatically rejects any data that doesn't fit your exact business rules.

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