Best Practices for Using GROUP BY in MySQL for Converting Vertical Data to JSON

Aditya Bhuyan
6 min readNov 22, 2024

Introduction

In MySQL, when working with data stored in a vertical format, it is often necessary to convert the data into a more flexible, hierarchical structure like JSON. This process typically involves using the GROUP BY clause to aggregate rows based on specific criteria. Converting vertical data into JSON format is crucial for many modern web and application architectures, especially when interacting with APIs or performing data exports for analysis.

The combination of GROUP BY with aggregation functions such as GROUP_CONCAT and JSON_ARRAYAGG allows developers to efficiently group and transform data into a JSON format. In this article, we will explore the best practices for using GROUP BY when converting vertical data into JSON in MySQL. By following these strategies, you can ensure that your database queries are optimized for both performance and flexibility, helping you manage complex data in a way that meets the demands of modern applications.

Understanding Vertical Data and JSON Transformation

Vertical data refers to a data structure where records are stored in rows, each representing a single attribute or value. For example, a sales table might store individual items purchased in…

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Aditya Bhuyan
Aditya Bhuyan

Written by Aditya Bhuyan

I am Aditya. I work as a cloud native specialist and consultant. In addition to being an architect and SRE specialist, I work as a cloud engineer and developer.

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