Today we have a reprint of an editorial from Sept 19, 2005 as Steve Jones is on vacation. In this one, Steve Jones reminds companies that saving money sometimes on Customer Service isn't as easy as you think.
2011-01-31
118 reads
Steve Jones talks about the value of deep training. He is aiming to get some from SQLskills this year as part of their MCM training series, even without trying to pass the certification.
2011-01-27
172 reads
Not me, though I’m not necessarily against Azure in principle. I had a friend ask me for a SQL Server...
2011-01-26
737 reads
2011-01-26
2,687 reads
Someone posted a note saying that their backups were really large and slow. So they were trying to manage their...
2011-01-25
1,462 reads
It’s just a couple weeks away, on Super Bowl weekend. I can’t believe this is event #60, still in shock...
2011-01-24
816 reads
SQLServerCentral has a new place for discussions and Steve Jones hopes you use it. It's a forum built for critiquing and discussion the presentations that the SQL Server community shares with each other.
2011-01-24
86 reads
2011-01-24
2,567 reads
Continuing on with my MCM prep, I was listening to the High Availability/DR prep module today and I was once...
2011-01-24
1,427 reads
This Friday Steve Jones explores archived data. Can you restate past results or change old data? This week Steve Jones asks how data professionals feel about this and what guidance they give to their customers.
2011-01-21
130 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