Скачать или смотреть Mastering JOLT Transformation: How to Rename Fields and Add Arrays to JSON Output

Discover how to use JOLT Transformation to rename fields and add new arrays to your JSON output with an easy-to-follow guide and practical examples.
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This video is based on the question https://stackoverflow.com/q/76436207/ asked by the user 'Michael Wyatt' ( https://stackoverflow.com/u/22044676/ ) and on the answer https://stackoverflow.com/a/76437707/ provided by the user 'Barbaros Özhan' ( https://stackoverflow.com/u/5841306/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Mastering JOLT Transformation: How to Rename Fields and Add Arrays to JSON Output

In the world of data transformation, JOLT offers powerful tools to manipulate JSON structures effectively. A common challenge faced by many developers is the need to rename fields and add new arrays to an existing JSON output. This guide aims to provide a comprehensive guide on how to achieve this using JOLT Transformation, using a concrete example for clarity.

Understanding the Problem

Let’s start by examining the original JSON input that we want to transform:

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

The goal is to rename some fields in the output and to introduce a new array called locations. The desired output structure should look like this:

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

The Challenge

When attempted, a common issue is that only one location (e.g. "Paris") shows up in the output instead of both "Paris" and "London" as expected.

The Solution

Based on the provided information, let's explore how we can implement the required transformation using JOLT.

Steps to Achieve Transformation

Use JOLT Shift Operation: The shift operation allows us to restructure the JSON and rename fields efficiently.

Incorporating Locations: Instead of using a separate transformation operation, we can add the locations property directly within the shift transformation.

Avoid Redundancies: Utilize ampersand notations to avoid repeating literals unnecessarily while navigating the data structure.

JOLT Specification

Here’s the optimized JOLT specification that you can use:

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

Explanation of the Spec

& Notations:

&3 refers to the third level in the hierarchy (data).

&2 references the current array tests.

&1 points to the current index of the array.

Field Renaming:

We rename id, name, and description to TestID, Name, and Description respectively.

Adding Locations:

Instead of a second transformation step, # Paris|# London within the shift operation adds an array of locations directly at the correct level.

Conclusion

By following the steps outlined above, you can efficiently perform transformations on your JSON data using JOLT. This not only helps in renaming fields but also simplifies the process of adding new arrays like locations. The provided JSON transformation specification should serve as a solid foundation for future data manipulations.

With JOLT, you can transform your data structures intuitively and keep your workflows seamless. Happy transforming!