Sign in to track progress and bookmarks.
In the modern world, you often have data that doesn't fit into neat columns (e.g., User Preferences or Log Metadata). Instead of switching to a NoSQL database, you can use SQL Server's powerful JSON support to handle both relational and semi-structured data in one place.
SELECT JSON_VALUE(MetaData, '$.Browser') AS Browser
FROM AppLogs WHERE JSON_VALUE(MetaData, '$.Status') = 'Error'You can also turn your SQL results into JSON instantly! This is perfect for building REST APIs. Instead of mapping SQL rows to C# objects and then to JSON, you can have SQL Server output the JSON directly, saving massive amounts of Web Server CPU.
Q: "Is it efficient to index a JSON column in SQL Server?"
Architect Answer: "You cannot directly index the JSON blob. However, you can create a **Computed Column** that extracts a specific value from the JSON and then put an index on that computed column. This gives you 'NoSQL Flexibility' with 'Relational Speed'. It is a powerful hybrid strategy for modern cloud applications."
Quizzes linked to this course—pass to earn certificates.
On this page
1. JSON_VALUE vs JSON_QUERY 2. FOR JSON PATH 4. Interview Mastery