2026-03-04
468 reads
2026-03-04
468 reads
Last year, I used a lot of JSON to exchange data between systems. There are several ways to extract data from a JSON file, but there is one specific, probably less-used possibility that I’d like to highlight. For one project, I received JSON files containing a variable number of parameters and their values. If I […]
2026-02-18
3,593 reads
The new JSON field type and new functions in Azure SQL brings a new world of possibilities for JSON manipulation in SQL Databases. These features are slated to be a part of SQL Server 2025 as well. Let’s analyze some practical uses of these features
2025-06-09
2025-02-28
410 reads
2023-10-25
546 reads
2021-09-24
408 reads
2021-09-17
535 reads
This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node. The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression.
2019-11-25 (first published: 2019-11-24)
793 reads
This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node. The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression.
2019-11-12 (first published: 2019-11-08)
2,071 reads
An example of exporting and importing table data with JSON in Azure and SQL Server 2016.
2017-06-09 (first published: 2016-05-05)
3,850 reads
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
I'm fairly certain I know the answer to this from digging into it yesterday,...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers