In today's guest editorial, Phil Factor issues a stark warning against cunning salesmen and hidden costs in cloud computing.
Phil Factor is puzzled by reading how difficult a relatrional database is to use for certain tasks.
Check tempdb to see if it has been autogrown since the last restart. If it has, there may be an opportunity to improve server performance.
Recently we started experiencing a very strange issue in our production reporting environment where the Re-indexing and Update Statistics operation suddenly began taking more than 2 days to complete and was thus causing blockage in the database which in turn caused impairment in application performance.
It's incredible what humans can accomplish when they work on a problem with passion. This editorial was originally published on Mar 20, 2008. It is being re-run as Steve is on vacation.
This week Steve Jones looks at the expected lifetimes of SSDs and finds one that might be a nice upgrade for your system.
When you have SSAS cubes with millions of rows of data, it is very helpful to create partitions. If you have a few cubes you could probably do this manually, but if there are many or if you want to automate this process you should look for smarter solutions such as programming the creation of partitions dynamically.
SQL Saturday in the Ukraine. If you want a free day of training, sign up and attend.
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