Handling JSON Data in SQL Using MySQL and PostgreSQL

Handling JSON Data in MySQL and PostgreSQL

Write a SQL query to extract data from a JSON column, comparing syntax between MySQL and PostgreSQL.

Solution:

-- MySQL
SELECT JSON_UNQUOTE(JSON_EXTRACT(Profile, '$.Name')) AS Name
FROM Employees;

-- PostgreSQL
SELECT Profile->>'Name' AS Name
FROM Employees;

Explanation:

• Purpose of the Query :
• The goal is to demonstrate how JSON handling differs between MySQL and PostgreSQL.
• Key Components :
• JSON_EXTRACT and JSON_UNQUOTE (MySQL): Extract and unquote JSON values.
• ->> (PostgreSQL): Extracts JSON values directly.
• Why Compare JSON Handling?:
• JSON support varies across platforms, impacting query portability.
• Understanding these differences ensures efficient data extraction.
• Real-World Application :
• In modern applications, JSON columns store flexible, semi-structured data.

Additional Notes:

• Use JSON functions sparingly for performance reasons.
• Test queries on all target platforms to ensure consistent results.
• Important Considerations:
• Validate JSON data to avoid parsing errors.

For more Practice: Solve these Related Problems:

• Write a SQL query to extract the email address from a JSON column, comparing syntax between MySQL and PostgreSQL.
• Write a SQL query to extract the phone number from a JSON column, comparing syntax between MySQL and PostgreSQL.
• Write a SQL query to extract the address details from a JSON column, comparing syntax between MySQL and PostgreSQL.
• Write a SQL query to extract the product details from a JSON column, comparing syntax between MySQL and PostgreSQL.

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