Ever do something to your SQL Server 2000 server and then realize you've just broken something major? Ever have a moment when you want to go "whoops", but really feel like crying ot running away? Steve Jones just had one of those and gives you a few things to think about when you deal with a situation like that.
2005-06-16
12,054 reads
2005-06-01
1,821 reads
Backing up SQL Server data is like many of the things we do because we figure we need to. It is good for you, like eating a good diet and getting exercise. Unfortunately, folks are often about as successful with SQL Server backups as they are with diet and exercise.
This is the first in a series of articles covering SQL Server database backup. The series starts from the very basics of why database backup is important. The question of why to backup a database can inform many other decisions.
2005-05-09
2,411 reads
2005-04-08
2,102 reads
2005-03-07
1,389 reads
2004-12-22
1,717 reads
2004-12-08
1,734 reads
Another in our series of things you should avoid at all costs. Seems silly at first, not having a detailed recovery plan for your SQL Server. Perhaps it is, but having dealt with any number of problems over the last few years, Steve Jones has some ideas why a detailed plan may not be the best thing to spend your time on.
2004-11-09
8,071 reads
Part 2 of Steve Jones' Incident Response series that looks at how you should be prepared as well as what to do when disaster strikes. Part 1 established a basic framework and part 2 dives deeper into what you might need for the next virus, hardware failure, or hurricane :(.
2004-10-11
4,922 reads
2004-08-27
2,234 reads
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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