Filtering Rows with Valid JSON Data in MySQL

Retrieve Only Rows with Valid JSON Data Using JSON_VALID

Write a MySQL query to select records from the Products table where the details column contains valid JSON data, using the JSON_VALID function.

Solution:

-- Retrieve products that have valid JSON data in the Details column.

-- Select the ProductName and Details columns for products with valid JSON data.
SELECT 
    -- Retrieve the ProductName column.
    ProductName, 
    
    -- Retrieve the Details column containing the JSON data.
    Details

-- Specify the table from which to retrieve the data.
FROM Products

-- Filter rows where the Details column contains valid JSON data.
-- JSON_VALID returns 1 if the data is valid JSON, otherwise 0.
WHERE JSON_VALID(Details) = 1;

Explanation:

• Purpose of the Query:
• To filter out rows that do not contain valid JSON data.
• Demonstrates the use of JSON_VALID to enforce data integrity in JSON columns.
• Key Components:
• JSON_VALID(Details) = 1 : Checks if the JSON in the Details column is valid.
• WHERE clause: Ensures that only rows with valid JSON are returned.
• Real-World Application:
• Important for data validation, ensuring that downstream processes work with well-formed JSON.

Notes:

• Use this query as part of data quality checks or before performing operations on JSON data.
• Rows failing the JSON_VALID check may need to be reviewed or corrected.

For more Practice: Solve these Related Problems:

• Write a MySQL query to select rows from a table where a JSON column contains valid JSON data.
• Write a MySQL query to flag rows with invalid JSON data using JSON_VALID in the WHERE clause.
• Write a MySQL query to filter records with valid JSON data that also contain a specific key in the JSON document.
• Write a MySQL query to join two tables and select only those rows where both have valid JSON data.

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Previous MySQL Exercise: Query and Unquote JSON Data using JSON_UNQUOTE.