The Green Stuff
Money. It's part of the reason why we all work, though hopefully not all of it. Steve Jones comments a bit on financial matters.
Money. It's part of the reason why we all work, though hopefully not all of it. Steve Jones comments a bit on financial matters.
Money. It's part of the reason why we all work, though hopefully not all of it. Steve Jones comments a bit on financial matters.
Money. It's part of the reason why we all work, though hopefully not all of it. Steve Jones comments a bit on financial matters.
Steve Jones talks about being right versus being effective in your IT work.
Steve Jones talks about being right versus being effective in your IT work.
Steve Jones talks about being right versus being effective in your IT work.
Steve Jones looks back at the news of the past, including a look at RC0, the latest release of SQL Server 2008.
Steve Jones looks back at the news of the past, including a look at RC0, the latest release of SQL Server 2008.
Steve Jones looks back at the news of the past, including a look at RC0, the latest release of SQL Server 2008.
T-SQL does some things wonderfully, but cursors are the bane of the language, often causing performance issues. Changing your queries around to remove cursors can be tricky and new author Kamran Ali brings us one technique he has used to dramatically improve performance.
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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