Mastering Jolt Filtering: How to Remove Duplicate Elements from JSON with Dynamic Values

Learn how to effectively use `Jolt filtering` to remove identical elements from JSON nested structures. This blog covers a case study to illustrate the process clearly.
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Mastering Jolt Filtering: How to Remove Duplicate Elements from JSON with Dynamic Values

Working with JSON data can sometimes be tricky, especially when you need to manage nested structures and filter out duplicate elements dynamically. If you're facing challenges with Jolt filtering, you're not alone. Today, we will explore how to remove unwanted nodes from a JSON structure using Jolt, with a practical example to make the process crystal clear.

The Problem: Removing Unwanted Nodes from JSON

Imagine you have a JSON object that contains nested elements representing decisions and other details about services. You need to filter out specific items dynamically based on user-defined conditions, such as removing a service identified by a sequenceId that is found in the decisions array.

Here's a preview of the JSON structure you’re working with:

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

Your goal is to achieve the following expected output by removing any node associated with serviceToDelete. You want to ensure that both decisions and elements arrays only retain relevant services and their associated workflow data.

The Solution: Jolt Filtering Configuration

At the heart of this solution is Jolt's ability to transform JSON data with specific operations. Here’s a breakdown of how to configure Jolt filtering to dynamically remove unwanted nodes.

Step 1: Using Shift Operation

Start with a shift operation to control the structure of the transformed JSON. Your goal is to create a mapping that skips unwanted items like so:

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

Step 2: Adding Workflow Dynamic Filtering

Next, we need to define how to dynamically filter the workflow details based on the sequenceId. This involves partitioning the workflow data to directly correlate with your decisions:

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

Step 3: Complete Jolt Transformation

Combining these operations will help you manage both the decisions and workflow. Here’s the complete Jolt configuration for filtering out the desired elements dynamically:

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

Conclusion

Jolt filtering can be complex, especially when dealing with dynamic elements. By carefully constructing your Jolt specifications, you can efficiently remove unwanted nodes and clean up your JSON structure. Now, you have the tools to tackle similar scenarios with confidence!

Feel free to reach out if you have more complex use cases or run into issues. Happy coding!