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Скачать или смотреть Transforming Nested JSON Objects into a Flat Array with Jolt

  • vlogize
  • 2025-04-05
  • 1
Transforming Nested JSON Objects into a Flat Array with Jolt
Jolt Transform list of nested objects to array and root item for each of themjsonjolt
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Описание к видео Transforming Nested JSON Objects into a Flat Array with Jolt

Learn how to convert nested JSON structures into flat arrays using `Jolt` transformations for better data handling and clarity.
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This video is based on the question https://stackoverflow.com/q/77921717/ asked by the user 'Christian Demers' ( https://stackoverflow.com/u/13534871/ ) and on the answer https://stackoverflow.com/a/77921765/ 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.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Jolt Transform list of nested objects to array and root item for each of them

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Transforming Nested JSON Objects into a Flat Array with Jolt

When working with JSON data, especially when it involves nested objects, it can often become cumbersome. For many developers, the need to transform a complex JSON structure into a more manageable format, such as a flat array, is common.

In this guide, we will address a common challenge: how to transform a list of nested JSON objects into a flat array while retaining relevant data from the root items of each object. The following sections will guide you through the process, providing step-by-step explanations and practical Jolt transformations.

The Problem

Let's start with an example of a nested JSON structure that needs to be transformed. Consider the following JSON input:

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

The goal is to transform this input into the following flat array:

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

This transformation allows for easier processing and better usability of the data.

The Solution

To solve this problem, we can use Jolt, a JSON-to-JSON transformation tool. We'll employ a series of shift transformations.

Step-by-Step Transformation

Initial Shift Transformation
The first step is to loop through all the variables while partitioning objects by the outermost indexes. The spec for this initial shift operation will look like this:

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

Here, we are essentially mapping the nested structure to a new format while retaining the necessary identifiers.

Eliminate Object Keys
After the initial transformation, we need to rid ourselves of the object keys to create a flat array. This involves another shift transformation:

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

Dynamic Transformation (Optional)
You may want to apply a more dynamic approach, especially if the structure of your JSON can vary. This transformation accounts for such variability:

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

Conclusion

Using the above transformation specifications with Jolt, we can efficiently convert a nested JSON structure into a flat array, enhancing our ability to work with the data. Not only does this make it easier for processing, but it also improves the overall clarity of the data, which can be especially beneficial for developers working in data-driven applications.

Remember, Jolt provides a flexible way to handle complex JSON transformations, making it a valuable tool for any developer dealing with data manipulation.

By mastering these transformations, you can significantly improve your data handling capabilities and simplify your JSON structure management.

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