Скачать или смотреть How to Merge Specific Data from JSON Arrays Using JOLT

Learn how to effectively merge and clean duplicate investor data from JSON arrays using JOLT. This guide will simplify your API data transformation process.
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How to Merge Specific Data from JSON Arrays Using JOLT

When dealing with API responses, it's common to encounter JSON data that's not structured in a way that's optimal for your use case. In this guide, we'll explore how to tackle a specific problem: merging investor data from a JSON array by using the JOLT transformation framework. Let's dive into how we can clean up the data, eliminate duplicates, and achieve our desired output.

Understanding the Problem

The JSON format received from the API contains an array called clubhouse, which, unfortunately, has duplicate entries for the id field. Each id has several associated investors, which are represented as nested arrays. The goal is to merge these investors into a single entry for each unique id while ensuring we do not have any duplicate investor entries.

Here’s an example of the JSON structure we are working with:

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We need to transform this input to the following expected output:

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Solution: JOLT Transformation Steps

To achieve our goal, we can use JOLT's transformation operations. Below is a breakdown of the operations we'll execute using JOLT to merge the investors and eliminate duplicates:

1. Grouping by ID Values

First, we need to group the data by the id values. The JOLT specification to perform this operation is as follows:

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This operation creates separate objects based on unique id values and prepares the structure for further processing.

2. Removing Null Values

Next, we need to eliminate any entries with null values. We accomplish this using:

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This step will ensure that any empty or null fields are removed before we continue.

3. Defining Cardinality

To make sure we maintain only unique investments under each investor, we will specify that we would like to handle duplicates as such:

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This operation tells JOLT that we want to keep only one instance of the main object, while allowing multiple entries of the investors array.

4. Cleaning Up Object Labels

Finally, we clean up any unnecessary object labels generated during the transformation:

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This will finalize our output format, ensuring we have the cleaned-up JSON structure we desire.

Example of Full JOLT Specification

Here is the complete JOLT specification for merging the investor data:

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Conclusion

Using JOLT for JSON transformation is both powerful and efficient for dealing with API responses. By following the steps outlined above, you can successfully merge specific data from JSON arrays while eliminating duplicate entries. This not only cleans up your data structure but also makes it more manageable for your application or analysis tasks.

With the proper application of JOLT operations, you can ensure that your data is well-organized and ready for use. Happy coding!