Unraveling Data Challenges with DataWeave Part 1: CSV to JSON Conversion

Antonios Malliotis
Another Integration Blog
2 min readJul 18, 2023

Introduction

Welcome to the first part of our DataWeave series, where we aim to explore how this powerful data query and transformation language can resolve common coding challenges. In this article, we’ll cover the basics of DataWeave and tackle a simple data transformation task.

What is DataWeave?

DataWeave is a key component of the Mulesoft Anypoint Platform. It’s a purpose-built language for data transformation, allowing developers to convert data from one format to another, filter, sort, and even perform complex aggregations.

Why DataWeave?

The versatility of DataWeave lies in its ability to handle various data formats like JSON, XML, CSV, and more. It helps streamline data transformation processes, a common need in many software development projects.

Simple Coding Challenge: Transforming Data Formats

One of the most common coding challenges developers face is transforming data from one format to another. For instance, you may have data in a CSV format that you need to convert to JSON.

Let’s consider a CSV data sample:

Name,Age
John,30
Alice,25

And we want to convert this to JSON. In DataWeave, the script to achieve this would look something like this:

%dw 2.0
output application/json
---
payload map (item) -> {
name: item.Name,
age: item.Age
}

In the script above, ‘payload’ represents the input data. The ‘map’ function is used to iterate through each item in the input. For each ‘item’, a JSON object is returned with ‘name’ and ‘age’ properties.

The output of this transformation from CSV to JSON will look like this:

[
{
"name": "John",
"age": "30"
},
{
"name": "Alice",
"age": "25"
}
]

You can try this DataWeave Code on playground :
https://dataweave.mulesoft.com/learn/

Conclusion

In this article, we’ve scratched the surface of DataWeave, understanding its basic structure and how it can solve a common data transformation challenge. Stay tuned for the next part of the series, where we’ll dive deeper into more complex coding challenges and how DataWeave can make your life easier as a developer!

Remember, the best way to master DataWeave is through practice. Try out different transformations, play with various data formats, and don’t hesitate to explore the extensive documentation provided by Mulesoft.

Thanks for reading, and see you in the next part of our series!

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