Friday Followup For January 10, 2014
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-10
501 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-10
501 reads
If you read my end-of-year post (you did, right?), you’ll recall that I mentioned that 2013 was a tough year...
2014-01-09
710 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-03
403 reads
The end of the year is here, which means it’s time to look back and review my goals and reflect...
2013-12-30
1,217 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2013-12-27
547 reads
I originally wrote this in December 2011. It’s been one of my most popular posts, so reposting it has become...
2013-12-23
447 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2013-12-20
553 reads
No, really, I’m board. It will be officially announced today, but as of December 11th, I’m the new Director of...
2013-12-17
550 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2013-12-13
459 reads
A couple of weeks ago I gave you some scripts to collect wait stats from your SQL Server instance over...
2013-12-13 (first published: 2013-12-10)
2,340 reads
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
By Steve Jones
Finding duplicates was an interview question for me years ago, and I’ve never forgotten...
By HeyMo0sh
Over time, I’ve realised that one of the hardest parts of cloud management isn’t...
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