Stairway to Database DevOps

Stairway to Database DevOps Level 4: Creating a new Azure Pipeline (with Azure SQL DB Deployment)

The first three levels of this series have been the lead-up to this level, automating the database deployment with Azure Pipelines. First, we started with an introduction to Azure DevOps and the Git client. Next, SQL Source Control was introduced to manage a database’s schema and manually deploy changes from the database to source control […]

Technical Article

Plansplaining, part 20. SQL Graph (part 1)

Welcome to part twenty of the plansplaining series. It has been a long time since I last wrote a plansplaining post, partly because of my health, but also for a large part because I was out of ideas. But recently I decided to dig a bit deeper into a feature that was released in SQL Server 2017 and that I had so far not played with: SQL Graph.

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Fun with JSON II

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Changing Data Types

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Question of the Day

Fun with JSON II

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 t1.[key] AS row,
       t2.*
FROM OPENJSON(
     (
         SELECT t.* FROM #test_data AS t FOR JSON PATH
     )
             ) t1
    CROSS APPLY OPENJSON(t1.value) t2;

See possible answers