An Informal Look at Database Performance
A review on the basic steps to correct a poorly performing query
2010-09-08
12,480 reads
A review on the basic steps to correct a poorly performing query
2010-09-08
12,480 reads
A Technique to deal with moving data from multiple schemas into one table
2010-08-09
6,401 reads
Some useful undocumented extended and stored procedures in SQL Server 2005
2009-11-20 (first published: 2008-05-09)
33,452 reads
2009-01-17 (first published: 2008-05-28)
4,234 reads
2008-12-02
9,122 reads
2008-10-23 (first published: 2008-08-24)
1,915 reads
2008-09-09
12,787 reads
A discussion on using CTEs to speed the development and maintenance of reports and enhance readability.
2008-03-31
6,159 reads
Discusses the techniques and reasons to use opendatasource for reading text files in SQL Server 2005.
2007-12-13
10,376 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,...
Having trouble attracting leads or visibility online? We develop the best digital marketing strategies...
Posting regularly but not getting engagement or sales? As one of the best social...
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
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