Getting Close to Physical - Database Weekly (Nov 8, 2008)
The performance of virtual machines is getting closer and closer to that of physical machines with better software like Hyper-V.
2008-12-08
243 reads
The performance of virtual machines is getting closer and closer to that of physical machines with better software like Hyper-V.
2008-12-08
243 reads
2008-12-08
518 reads
2008-12-08
736 reads
2008-12-08
488 reads
The performance of virtual machines is getting closer and closer to that of physical machines with better software like Hyper-V.
2008-12-06
754 reads
The performance of virtual machines is getting closer and closer to that of physical machines with better software like Hyper-V.
2008-12-06
732 reads
The performance of virtual machines is getting closer and closer to that of physical machines with better software like Hyper-V.
2008-12-06
495 reads
An interesting idea in this video. I’d recommend you watch this if you have too much email. It's from the...
2008-12-05
430 reads
One interesting thing about doing the podcasts and working from home is that I tend to shave a bit more...
2008-12-05
391 reads
2008-12-05
3,738 reads
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...
Hi all, I just started using VS Code to work with DB projects. 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
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