A really simple bug with SSMS
If you’re a long time IT professional or an occasional user of high or even low tech software you’ll know...
2016-09-28
531 reads
If you’re a long time IT professional or an occasional user of high or even low tech software you’ll know...
2016-09-28
531 reads
Up until SQL Server 2016, we had to write our own functions to split a CSV string into a table...
2016-09-15 (first published: 2016-09-08)
2,732 reads
I’m excited to be monitoring Kalen’s session on concurrency. The session is today and is titled “Locking, Blocking, Versions: Concurrency...
2016-09-07
347 reads
If I had a dollar for every CTE solution to a simple query in the forums (pick any SQL forum), I’d...
2016-08-27
774 reads
This will be my second time speaking at SQL Saturday in Dallas. My first was last year and it was...
2016-08-25
436 reads
This will be my first time speaking in Oklahoma on 8/27 in Oklahoma City. I’ve been to several customers there...
2016-08-16
513 reads
One of the top three performance killers for SQL Server is lack of processing power. I’d say that it’s second...
2016-08-18 (first published: 2016-08-11)
2,151 reads
I’ve been working with SQL Server for 18 years and over that long span I’ve seen a lot of different...
2016-08-10
621 reads
A bit of history
Long ago there were such things called diverters. The phone company used them so employees could dial...
2016-07-29
906 reads
I recently read an a blog on MSDN that covered new features for the query optimizer in SQL Server 2016....
2016-07-29 (first published: 2016-07-25)
2,031 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...
Hi all, I just started using VS Code to work with DB projects. 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
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