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Learn how to efficiently transform JSON data structures using `Dataweave` in `MuleSoft`, with step-by-step guidance and examples.
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This video is based on the question https://stackoverflow.com/q/63833009/ asked by the user 'Pankaj Mishra' ( https://stackoverflow.com/u/6778912/ ) and on the answer https://stackoverflow.com/a/63833409/ provided by the user 'olamiral' ( https://stackoverflow.com/u/5155339/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Transforming JSON Structures with Dataweave in MuleSoft

In today's data-driven world, transforming JSON structures efficiently is an essential skill, especially for developers using MuleSoft. JSON, which stands for JavaScript Object Notation, is widely used for data interchange between web applications and servers. However, working with JSON means you often encounter the need to rearrange or edit these structures to meet specific requirements. In this post, let's explore how to transform a given input JSON structure into a desired output format using the powerful Dataweave transformation tool in MuleSoft.

The Problem: Input vs. Output JSON

Input JSON Structure

You may have an input JSON data structure like the following:

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

Desired Output JSON Structure

The objective is to transform the input structure to the following output format:

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

Step-by-Step Solution Using Dataweave

1. Validating the Input JSON

Before we can begin the transformation, it's important to ensure that the input JSON is properly formatted. In this example, we corrected some issues to create a valid JSON, which is essential for the Dataweave script to work correctly.

2. Crafting the Dataweave Script

The transformation is achievable through a concise Dataweave expression. Below is the Dataweave code to make the necessary adjustments:

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

3. Breakdown of the Dataweave Expression

%dw 2.0: This indicates the version of Dataweave being used.

output application/json: Specifies that the output format is JSON.

The transformation logic involves specifying the new keys and mapping them to their corresponding values from the original input JSON.

4. Resulting Output

Upon executing the above Dataweave script with the valid input, you will achieve the expected output:

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

Conclusion

Transforming JSON data structures isn’t just a common requirement; it's an essential capability when working with MuleSoft. Through Dataweave, you can efficiently and effectively manipulate JSON structures, ensuring they meet your application's needs. With the example provided, you can confidently transform similar JSON inputs into your desired output formats. Happy coding!