Friday Followup For February 27, 2015
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-02-27
931 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-02-27
931 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-02-20
429 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-02-13
379 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-02-06
405 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-01-30
924 reads
I was excited to learn this week that I’ve been chosen as a participant in the Friends of Red Gate...
2015-01-23
559 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-01-23
470 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-01-09
399 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2015-01-02
369 reads
It’s Friday, time to look back at the most popular RealSQLGuy posts of the week. Because it’s Friday and you’re...
2014-12-26
399 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