How do you implement schema validation in MongoDB?

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In MongoDB, schema validation allows you to enforce rules on documents in a collection to ensure they follow a certain structure, even though MongoDB is schema-less by default. This is done using validators, usually defined with JSON Schema.

Key Concepts:

1. Validator – Defines the rules for the fields, data types, required properties, and patterns.

2. Validation Level – Determines how strictly the rules are applied:

   • strict: All inserts and updates must comply.

   • moderate: Only updates are validated; existing documents can remain non-compliant.

3. Validation Action – Determines what happens when a document violates rules:

   • error: Reject the operation.

   • warn: Allow the operation but log a warning.

Steps to Implement Schema Validation:

1. Define the JSON Schema specifying required fields, data types, value ranges, or patterns.

2. Create or Modify a Collection with the validator:

   • When creating: use the validator option in db.createCollection().

   • For existing collections: use db.runCommand({ collMod: ... }).

3. Enforce Validation by specifying validationLevel and validationAction.

Example Concept:

For a users collection, you might require:

• name: string, required

• email: string, must match an email pattern

• age: integer, minimum 18

MongoDB will reject any document that doesn’t satisfy these rules during insert or update (if validationAction is error).

Benefits:

• Ensures data consistency and integrity.

• Prevents insertion of invalid or incomplete data.

• Flexible and adaptable to evolving schemas.

Read More :

Explain aggregation in MongoDB with an example.

What is sharding in MongoDB, and when is it used?

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