Resolving Data Fetching Issues from MongoDB in Node.js and Express with Mongoose

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Problem Overview

In this scenario, the application is successfully adding books to your MongoDB database, but data retrieval fails silently, with no errors thrown. This can be particularly frustrating, especially when the data appears to be stored correctly.

Examining the Code

Let’s look at the specifics of the code you shared:

App Structure

[[See Video to Reveal this Text or Code Snippet]]

However, when attempting to fetch the books, the following route is defined:

[[See Video to Reveal this Text or Code Snippet]]

What's Going Wrong?

The issue lies in the way the Mongoose library is being used to retrieve data. In the latest versions, Mongoose no longer supports callbacks for Model API methods, which means that using callbacks like you did in find will not function as expected. Instead, you should use async/await for a cleaner and more manageable code structure.

Implementing the Solution

[[See Video to Reveal this Text or Code Snippet]]

Breakdown of Changes

Use async/await: By marking your route handler as async, you can use await to pause execution until the find method completes. This makes it easier to work with asynchronous operations.

Error Handling: The try...catch block allows you to handle any errors that may arise from the database query. If an error occurs, it logs the error and sends a response with a status code of 500, indicating that something went wrong.

Rendering the Data in HBS

[[See Video to Reveal this Text or Code Snippet]]

This ensures that when your data is fetched correctly, each book's details will be elegantly displayed in the format specified.

Conclusion

By utilizing async/await for your Mongoose operations, you can significantly improve the reliability and readability of your code. If you follow the steps outlined above, you should be able to successfully fetch your MongoDB data and render it on your .hbs pages without any hassle. If you continue to face issues, consider checking your database connection and making sure the queried fields exist in your document schema.

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