Building Microservices API in Go - Error Handling Part 2

The video tutorial addresses error handling in an API, focusing on differentiating between not found and unexpected database errors. It demonstrates testing scenarios by simulating a database down situation and customizing error messages for clarity. The tutorial also covers designing a custom error library to handle different error codes and messages effectively, ensuring the API returns appropriate responses. The video concludes with testing the implemented solution.

What was the main issue with the API developed in the previous video?

• It was not able to connect to the server.

• It returned incorrect error messages.

• It did not accept numeric IDs.

• It did not return any data.

What method was used to simulate a database error?

• Changing the API endpoint.

• Altering the customer ID.

• Modifying the database schema.

• Bringing the database down.

What status code should be returned when a customer is not found?

• 404 Not Found

• 200 OK

• 500 Internal Server Error

• 403 Forbidden

What is the purpose of the custom error library introduced in the video?

• To log errors more efficiently.

• To handle different error scenarios with specific codes.

• To improve database connectivity.

• To enhance API performance.

Why is it not advisable to match error messages to determine status codes?

• It is not supported by all programming languages.

• It is too complex to implement.

• It can break existing code if messages change.

• It requires additional resources.

What does the new error handling design involve?

• Creating a new database schema.

• Implementing a new API endpoint.

• Developing a custom error response object.

• Using a third-party error handling library.

What is the correct status code for an unexpected database error?

• 200 OK

• 403 Forbidden

• 500 Internal Server Error

• 404 Not Found

What is the role of the 'App error' object in the new design?

• To manage database connections.

• To encapsulate error codes and messages.

• To log server requests.

• To store customer data.

How does the new error handling system improve the API?

• By reducing server load.

• By increasing data retrieval speed.

• By enhancing user interface design.

• By providing clearer error messages and correct status codes.

What is the next step mentioned for the error infrastructure?

• Improving database performance.

• Adding more error codes.

• Enhancing user authentication.

• Refactoring the error infrastructure.