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Learn how to maintain data integrity in MongoDB using Schema Validation. This tutorial shows you how to define rules for your collections and how to handle the validation errors that occur during insert or update operations.
What you will learn:
How to Set Up Schema Validation: We'll use db.createCollection() with the $jsonSchema validator to define required fields and data types (e.g., bsonType: "string").
Handling Insert Errors: See what happens when insertOne() or insertMany() fails validation. We'll show you the "Document failed validation" error message and how to read it to find out which rule failed.
Handling Update Errors: We'll demonstrate how an updateOne() or updateMany() operation will fail if the change violates the schema (e.g., setting a required field to null).
Error Handling (Conceptual): We'll explain how to interpret the MongoServerError (Code 121) so you can catch these errors in your application (like in a try/catch block) and provide a clean response to the user.
Example Schema Setup: db.createCollection("users", { validator: { $jsonSchema: { bsonType: "object", required: [ "name", "email" ], properties: { name: { bsonType: "string" }, email: { bsonType: "string" } } } } })
#MongoDB #Database #NoSQL #Programming #HowTo #TechTips #MongoDBTutorial #ErrorHandling #SchemaValidation
YouTube Tags mongodb, mongodb tutorial, mongodb validation, mongodb schema validation, mongodb $jsonSchema, mongodb crud, handle mongodb errors, mongodb insert error, mong
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2025/11/12
youtube
