What is schema error logging and how can it help my application?
Schema error logging is a method to track and record errors related to data schema in your application. It helps identify issues in data structure, ensuring data integrity and improving debugging.
Can you give me an example of a schema error?
Sure! An example of a schema error is when a required field in a database is missing or when the data type of a field does not match the expected type, like trying to insert a string into an integer field.
How can I implement schema error logging in my application?
You can implement schema error logging by using middleware in your application that captures errors during data validation and logs them to a file or monitoring system.
Are there any tools that can help with schema error logging?
Yes, there are several tools like Sentry, Loggly, and ELK Stack that can help you monitor and log schema errors effectively.
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