Normalisation
The purpose of normalisation is to remove redundancy and prevent conflict. 1st Normal Form (1NF) – Every field can have only...
2013-08-07
548 reads
The purpose of normalisation is to remove redundancy and prevent conflict. 1st Normal Form (1NF) – Every field can have only...
2013-08-07
548 reads
In my experience, code quality always trumps urgency because when code has been released that has questionable quality, it is...
2013-06-09
433 reads
Every time an SQL query is run without the ORDER BY clause, the sort order of the results returned is...
2013-06-05
646 reads
This probably applies more to beginners or people who have been using SQL for a while but have been wondering...
2013-06-03
501 reads
Do you know the foundation of SQL? According to the book Querying Microsoft SQL Server 2012 Training Kit on the...
2013-05-31
1,003 reads
For those who has the privilege of being in the technology consulting industry for some time and started out in...
2013-01-17
395 reads
Remember the good ol’ days of going through a list of addresses and manually cleaning up hundreds if not thousands...
2012-10-19
741 reads
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
By HeyMo0sh
Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
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