JSON EXTRACT in MySQL - Examples & AI Generator

Working with nested JSON data in MySQL can be tricky, especially when extracting specific values using JSON EXTRACT. Memorizing the correct MySQL syntax and path expressions can slow down analysis and development. AI2sql instantly converts plain-English requests into production-ready JSON EXTRACT queries—no coding, no syntax errors, all in ten seconds or less.

JSON EXTRACT Syntax in MySQL

Basic Syntax and Usage

The JSON_EXTRACT function fetches values from a JSON column or string using a path:

JSON_EXTRACT(json_doc, path[, path, ...])

• json_doc: The JSON column or string.

• path: The path to the value (e.g., '$.customer.name').

Tip: MySQL requires paths to start with $.

JSON EXTRACT Examples You Can Generate Instantly

Common Business Use Cases

• Extract a customer email from a JSON column:

  SELECT JSON_EXTRACT(customer_info, '$.email') AS email
  FROM customers;

• Get the product price from order details:

  SELECT JSON_EXTRACT(order_data, '$.product.price') AS product_price
  FROM orders;
  
  

• Find all orders where the status is 'shipped':

  SELECT * FROM orders
  WHERE JSON_EXTRACT(order_info, '$.status') = '"shipped"';

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Frequently Asked Questions

• Q: Do I need to use double quotes or single quotes in JSON_EXTRACT paths in MySQL?
  A: Always enclose the path expression in single quotes (e.g., '$.field').

• Q: Can I extract multiple values with one call?
  A: Yes, list paths separated by commas: JSON_EXTRACT(json_doc, '$.a', '$.b').

• Q: Does AI2sql support complex JSON path queries?
  A: Yes! Simply describe your requirement—the AI SQL generator builds the correct MySQL syntax.

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