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Learn how to effectively validate and transform JSON array objects using JOLT to filter based on active status and provide the specific values you need.
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Validating and Transforming Array Objects with JOLT

In the world of JSON data processing, filtering and transforming array objects can be a common yet challenging task. One such use case arises when you want to select specific values from an array based on a condition—in this case, whether an item is "active" or not. In this guide, we'll explore how to validate and transform JSON array objects using JOLT (Java Open Language Tools) to achieve this requirement efficiently.

The Problem

Let's consider a scenario where we have a JSON input resembling the following structure:

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

In this input, we have an array of service objects, each with an "active" status, a "value," and a "key." Our goal is to get an output JSON that only includes the "value" of the objects where "active" is set to true. Thus, we expect to eliminate the "Mixed load" entry since it is inactive.

Desired Output

After filtering through the input, the expected output is:

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

The Solution

To achieve this transformation, we can utilize JOLT's shift operation, coupled with conditionals to only select the values of active items. Here's how to set up the JOLT specification.

Transform Spec

The JOLT spec will consist of an operation that specifically checks for the "active" status of each service. If "active" is true, the corresponding "value" will be shifted to the desired output format. Below is the JOLT spec you would use:

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Breakdown of the JOLT Spec

operation: "shift" - This operation is used to change the structure of the JSON by moving elements around.

spec: The structure defines how to interpret the input. Here we specify:

services: This indicates we are working with the "services" array.

"*": This wildcard matches all elements in the "services" array.

active: Inside each service, we check the "active" property.

"true": This conditional statement checks for the true value of "active".

@ (2,value): This is a special syntax that helps us access the "value" field two levels up from the current depth (the matched active service). The result will be placed into "loading_method".

Resulting JSON

After applying the above JOLT transformation to our input, the resulting JSON will correctly output our desired structure:

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

This means we've efficiently filtered out any services that were not active and extracted the necessary information.

Conclusion

Transforming and validating JSON data can be straightforward with the right tools. In this instance, using JOLT allowed us to clearly define our expectations and achieve the desired outcome through nesting and conditions. By leveraging JOLT's capabilities, we can enhance our data processing workflows, ensuring that we only handle relevant information as dictated by our project requirements.

Feel free to use this guide as a reference for your own JSON transformations and validations using JOLT!