Automating T-SQL Code Analysis
With all the options available within T-SQL these days, it’s more and more imperative that our code be clear and...
2017-12-11 (first published: 2017-11-28)
2,250 reads
With all the options available within T-SQL these days, it’s more and more imperative that our code be clear and...
2017-12-11 (first published: 2017-11-28)
2,250 reads
The preferred method for modifying your data within a database is T-SQL. While the last Fundamentals post showed how to...
2017-12-11 (first published: 2017-11-27)
1,786 reads
Redgate is once again hosting a live, virtual event for SQL in the City. We’re going to give you a...
2017-12-08
317 reads
I know that when some people see AdventureWorks, their vision turns all red around the edges, their blood pressure spikes...
2017-12-04
366 reads
I know. You love Profiler. I hear you. You’re wrong, but that’s OK. Kidding… mostly.
Unfortunately though, I think a lot...
2017-11-29 (first published: 2017-11-20)
1,397 reads
Chances are extremely high that I’ll never put down Data Scientist as my job. Considering what you do and what...
2017-11-22
395 reads
I have a real infatuation with Azure. I’m especially interested in the Platform as a Service (PaaS) offerings in and...
2017-11-15
300 reads
March 23rd, 2018, I’ll be teaching an all day class on Query Tuning Tools in Richmond Virginia. I hope to...
2017-11-14
364 reads
Ever heard of the General Data Protection Regulation? If not, go and read the Wiki. I’ll wait.
I can already hear...
2017-11-13
305 reads
There’s a war on in the SQL Server world. On the one side is Profiler (although, really, everyone uses Trace...
2017-11-07
430 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