Friday Followup For February 21, 2014
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-02-21
300 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-02-21
300 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-02-14
475 reads
See that guy there? He’s not winning. This picture was taken in July of 2013, and at that exact moment,...
2014-02-10
503 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-02-07
437 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-31
1,119 reads
Hey… Pssst… Yeah, you there on the couch. Listen, if you’re not doing anything around lunchtime on February 6th, I...
2014-01-28
634 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-24
518 reads
Three years ago in March of 2011, on a whim, I jumped into a hole in a frozen lake into...
2014-01-21
593 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-01-17
392 reads
Sometimes being a DBA really stinks. You try to follow best practices in everything you do. You’re not shrinking databases...
2014-01-14
776 reads
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...
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
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