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Скачать или смотреть How to Remove Array Elements in JSON using JOLT Spec

  • vlogize
  • 2025-04-14
  • 2
How to Remove Array Elements in JSON using JOLT Spec
JOLT spec to remove an array element based on string matchjsonjolt
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Описание к видео How to Remove Array Elements in JSON using JOLT Spec

Learn how to effectively use JOLT spec to remove specific elements from a JSON array based on string matches.
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This video is based on the question https://stackoverflow.com/q/73783354/ asked by the user 'MHegde' ( https://stackoverflow.com/u/1903691/ ) and on the answer https://stackoverflow.com/a/73783649/ 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 spec to remove an array element based on string match

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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How to Remove Array Elements in JSON using JOLT Spec

When working with JSON data, there may come a time when you need to remove elements from an array based on certain conditions. A common scenario is when you want to filter out objects that contain specific attribute values. In this guide, we will explore how to achieve this using the powerful transformation tool JOLT. Specifically, we will focus on removing an object from a JSON array based on the condition that the value of its attribute "TemplateProcessGroupName" is "BBBB".

The Problem Statement

Consider the following JSON array:

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

Our goal is to write a JOLT specification that will exclude the object where "TemplateProcessGroupName" is equal to "BBBB". This will allow us to maintain all other objects in the array.

Solution Overview

We have two scenarios we can address with JOLT specs:

Removing just the attribute when its value is "BBBB".

Removing the entire object that contains the attribute.

Removing Just the Attribute

If you only need to remove the attribute "TemplateProcessGroupName" whenever its value is "BBBB", you can use the shift transformation. Here’s how to do it:

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

Explanation:

The shift operation maps values from the input to the output based on the provided spec.

The specification checks each object and, if the value of "TemplateProcessGroupName" is "BBBB", it effectively omits it from the output.

The rest of the objects remain intact.

Removing the Entire Object

If the requirement is to remove the entire object containing the attribute "TemplateProcessGroupName" with the value "BBBB", we can use both shift and remove transformations together. Here's the specification to achieve that goal:

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

Explanation:

Shift Operation: This operation prepares the data structure by holding onto the existing paths while allowing us to specify removal of targets.

Remove Operation: This will eliminate the entire object where "TemplateProcessGroupName" is "BBBB".

Final Shift Operation: This cleans up the JSON output, removing unnecessary labels altogether.

Conclusion

By utilizing JOLT specifications as outlined, you can efficiently manage and manipulate JSON data to remove elements based on specific criteria. Whether you need to remove just an attribute or an entire object, JOLT provides the flexibility to transform your JSON structures to meet your requirements.

Feel free to experiment with the JOLT specifications provided above to understand their mechanics and adapt them to your unique data transformation challenges. If you have any further questions or need assistance, don't hesitate to reach out. Happy coding!

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