SQL Server 2019: Trouble with JSON Querying and Performance Lag
I've hit a wall trying to I'm trying to configure I'm reviewing some code and I need help solving I've looked through the documentation and I'm still confused about I'm currently working with SQL Server 2019 and I've run into a significant performance issue while trying to query JSON data stored in a column of a table... The JSON data looks like this: ```json { "products": [ {"id": 1, "name": "Product A", "price": 25}, {"id": 2, "name": "Product B", "price": 15} ] } ``` I've created a table called `Orders` with a column `OrderDetails` of type `NVARCHAR(MAX)` where I store the above JSON documents. My goal is to extract product details from this column. Here's the query I've been using: ```sql SELECT JSON_VALUE(OrderDetails, '$.products[0].name') AS ProductName, JSON_VALUE(OrderDetails, '$.products[0].price') AS ProductPrice FROM Orders WHERE JSON_VALUE(OrderDetails, '$.products[0].id') = 1; ``` However, this query takes a long time to execute, especially as the table grows. I've indexed the `OrderDetails` column using a computed column with the following definition: ```sql ALTER TABLE Orders ADD OrderID AS JSON_VALUE(OrderDetails, '$.products[0].id'); CREATE INDEX IX_OrderID ON Orders(OrderID); ``` Despite this, the performance is still poor. I also tried changing the JSON path to access other parts of the JSON structure but it doesn’t seem to help much. My execution plan shows a lot of overhead due to the JSON parsing, and I receive the warning: `Warning: The query could not take advantage of the index on the computed column due to the JSON parsing overhead.` What strategies can I apply to optimize this query? Should I consider a different schema for storing this data, or is there a better way to structure my queries to improve performance? Any help would be greatly appreciated! Any pointers in the right direction? This is my first time working with Sql latest. I'm developing on Ubuntu 20.04 with Sql. What's the correct way to implement this? What would be the recommended way to handle this?