SQL Problem Solving: Extracting Columns from JSON Data using JSON_VALUE | Step-by-Step Tutorial

Опубликовано: 20 Август 2023
на канале: Rahul Upadhyay
632
26

Dive into the realm of SQL problem-solving with our latest tutorial! In this session, we unravel the intricacies of extracting columns from JSON-formatted data using the versatile JSON_VALUE function. Join us on a step-by-step journey to enhance your SQL skills and tackle real-world challenges.

📋 Problem Description:
The challenge involves working with a "user_det_json" table containing JSON-formatted data. We explore the JSON_VALUE function to extract specific columns such as name, state, city, and more. Follow along to grasp the nuances of handling JSON data within SQL queries.

Table creation & insertion script:
CREATE TABLE user_det_json(
details VARCHAR(1000)
);

INSERT INTO user_det_json VALUES('{"name":"Akash Ahuja","address":{"state_info":{"name":"Maharashtra","short":"MH"},"city":"Pune"}}'),
('{"name":"Vishesh Deshmukh","address":{"state_info":{"name":"Gujarat","short":"GJ"},"city":"Surat"}}'),
('{"name":"Pankaj Taneja","address":{"state_info":{"name":"Tamil Nadu","short":"TN"},"city":"Madurai"}}');

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#sql #interview #json #sqlprogramming #problemsolving


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