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What happens when your data doesn't match your rules? 📉 In this essential 2025 guide, we show you how to professionally handle schema validation errors in MongoDB. Whether you’re working in the Mongo Shell or building a backend with Node.js, catching and understanding these errors is the key to a stable application.
This tutorial is perfect for backend developers who want to move beyond "it just works" and start building resilient systems that provide meaningful feedback when data fails to save. 🛡️🚀
What you will learn in this video:
Catching Errors in the Mongo Shell: We’ll show you exactly what the WriteError looks like and how to find the specific field that failed validation in the details object.
Handling Validation in Your Code:
Node.js/Mongoose: How to use try/catch blocks to capture ValidationError.
Custom Error Messages: Learn how to extract the err.message so you can send helpful alerts to your users (like "Email must be a valid format"). 📧
The "Failed Writes" Metric: Using MongoDB Atlas to monitor validation failures across your entire cluster. 📈
Error vs. Warn Mode:
How to use validationAction: "warn" during development to see errors in the logs without blocking your app.
Switching to validationAction: "error" for production-level security. ✅
Troubleshooting In-Progress Data: What to do when an existing document becomes "invalid" after you update your schema rules. We’ll show you how to use validationLevel: "moderate" to prevent your whole system from b
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2025/12/22
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