Pie Charts Aren’t THAT Evil!
[read this post on Mr. Fox SQL blog] Its time to take a well deserved 1/2 time break in my 8 part post series on SQL Partitioning and so I have...
2015-06-22
7 reads
[read this post on Mr. Fox SQL blog] Its time to take a well deserved 1/2 time break in my 8 part post series on SQL Partitioning and so I have...
2015-06-22
7 reads
[read this post on Mr. Fox SQL blog]
Continuing on with my Partitioning post series, this is part 4.
The partitioning includes several major...
2015-06-18 (first published: 2015-06-09)
2,200 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
17 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
7 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
6 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
9 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
5 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
8 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
8 reads
[read this post on Mr. Fox SQL blog] Continuing on with my Partitioning post series, this is part 4. The partitioning includes several major components of work (and can be linked...
2015-06-09
4 reads
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
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 *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers