Solving the JSON Parsing Issue in MS Access Using VBA

Learn how to handle errors while parsing JSON data into MS Access tables using VBA, and ensure smooth data migration between tables.
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Tackling JSON Parsing Issues in VBA for MS Access

When working with JSON data in VBA to populate tables in MS Access, developers often run into frustrating parsing errors, especially when trying to extract nested data. If you're struggling with how to correctly parse your JSON into Access tables and link records properly, you're in the right place! This post will walk you through a typical issue that developers face, and how to resolve it step by step.

The Problem

You have a nested JSON structure storing order details and order lines, which you need to parse into two related tables within MS Access: tblOrderDetails and tblOrdersProd. But when attempting to retrieve and assign values, especially from the OrderLine, you encounter two main errors:

Data type conversion error when assigning an OrderDetailID.

Wrong number of arguments or invalid property assignment when working with the order line data.

These errors can halt your project, making proper error handling and understanding necessary to streamline your parsing process.

The Solution

Here’s a structured approach to solve the JSON parsing issue using VBA, along with an improved version of the original code. This solution focuses on how to correctly link order details to their corresponding order lines and ensure data integrity.

1. Setting Up Your Environment

Before diving into the code, ensure that you have the necessary libraries in place:

Ensure that you have the Tim Hall's VBA-JSON library included in your project to parse the JSON data.

2. Revised Code Structure

Below is the revised version of the code that corrects the issues you were facing:

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

3. Key Changes Explained

Variable Initialization: Always initialize your DAO.Database and Recordset objects properly.

Using With Statements: Implementation of With statements enhances readability and performance by reducing repetitive code.

Fetching New ID: The use of .Bookmark = .LastModified allows us to reference the new OrderDetailID accurately without encountering datatype conversion errors.

Correct Data Assignment: Ensure that you are directly accessing the properties of the objects and using Funtions like DLookup appropriately.

4. Testing Your Code

After implementing the above code, run your script after confirming that your JSON structure matches the expectations and that your database schema is set up correctly. Monitor for any errors and ensure that data is populating the tables as intended.

Conclusion

Parsing JSON data into MS Access with VBA can be challenging, but by understanding the errors you're encountering and applying structured code adjustments, you can overcome these obstacles. The above guidance should provide a solid foundation for successful data manipulation in your Access database with JSON.

Implement the provided solutions, and you'll be on your way to a well-functioning data transfer system between JSON and MS Access. Happy coding!