Friday Followup For December 19, 2014
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-12-19
426 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-12-19
426 reads
Most of my peers, and likely yours as well, work in some sort of technical field. Odds are that they’re...
2014-12-15
539 reads
I didn’t want to repeat the Night Before Upgrade again this year, so I wrote something new. Go ahead, sing...
2014-12-14
401 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-12-12
432 reads
New version of sp_BackupDatabases released this morning, first update that I’ve made available in a while. I’ve been running this...
2014-12-08
877 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-12-05
469 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-11-28
945 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-11-21
452 reads
This post has nothing, absolutely nothing, to do with SQL Server. It does, however, relate to your career as a...
2014-11-26 (first published: 2014-11-17)
6,233 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-11-14
368 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