Query backup history
As a quick script tip for today I'll show you a script I use regularly for reporting purposes.
It shows you the...
2014-06-13
17,710 reads
As a quick script tip for today I'll show you a script I use regularly for reporting purposes.
It shows you the...
2014-06-13
17,710 reads
As a quick script tip for today I’ll show you a script I use regularly for reporting purposes.
It shows you the...
2014-06-13
412 reads
In a previous article we looked at CXPACKET waits, a wait type that is can be on the top of your...
2014-06-06
720 reads
In a previous article we looked at CXPACKET waits, a wait type that is can be on the top of...
2014-06-06
11,438 reads
One of the easiest ways to increase query performance on your database is making sure your statistics are up-to-date. Statistics...
2014-05-21 (first published: 2014-05-16)
6,343 reads
One of the easiest ways to increase query performance on your database is making sure your statistics are up-to-date. Statistics...
2014-05-16
448 reads
One of the most common wait types you will see on a SQL Server is the CXPACKET wait type.
This...
2014-04-09 (first published: 2014-04-04)
4,806 reads
One of the most common wait types you will see on a SQL Server is the CXPACKET wait type.
This wait...
2014-04-04
523 reads
There is one thing we all have in common, and a lot of us probably don’t even realize it, baselines!
...
2014-03-27 (first published: 2014-03-21)
2,510 reads
There is one thing we all have in common, and a lot of us probably don’t even realize it, baselines!
While...
2014-03-21
708 reads
By HeyMo0sh
One of the biggest challenges I’ve faced in cloud operations is maintaining clear visibility...
By Steve Jones
I come to Heathrow often. Today is likely somewhere close to 60 trips to...
By Brian Kelley
If your organization is spending money, then meaningful results are a must. Pen testing...
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