The Wild Developers of SQL Server like Wildcards
Phil Factor explains the enduring attachment of database developers to wildcards, despite their current deficiencies.
2025-03-17 (first published: 2018-12-17)
497 reads
Phil Factor
- Interests: Motorbikes, Beer, gardening, conservation, Local history.
On Looking and Acting the Part
Phil Factor's offers tips for longevity in the world of IT consultancy: listen well, humiliate no-one and convince others that it was their expertise that solved the problem.
2024-12-27 (first published: 2020-01-18)
434 reads
Idempotent DDL Scripts That Always Achieve The Same Result - Making Changes Only Once: Stairway to Exploring Database Metadata Level 6
Idempotence is the property of certain operations in mathematics and computer science, that can be applied multiple times without changing the result beyond the first time they are run. When you are making changes to a database to deploy a new version, you need to be sure that certain changes aren’t made twice, or in the wrong order.
2023-10-04 (first published: 2016-12-21)
19,717 reads
Potholes in the Road of Progress
Phil Factor looks at some technologists more famous for thwarting progress than for their own creations.
2022-09-02 (first published: 2017-07-17)
319 reads
Reading and Writing your Database's Documentation using JSON
One of the problems to which I keep returning is finding the best way to read and apply documentation for databases. As part of a series of articles I'm doing for Redgate's Product Learning, I've been demonstrating how to maintain a single source of database documentation, in JSON, and then add and update the object […]
2021-06-28 (first published: 2021-05-28)
3,614 reads
Malleable Source Control
Git has proved to be a better fit to the needs and workflow of a database development team than anything that came before. Git is valuable because it encourages branching and merging, giving more choice in the way that your team can work. Due to the ease with which you can adapt Git, there is […]
2021-04-03
155 reads
Exploring Facts About SQL Server Tables: Stairway to Exploring Database Metadata Level 5
Now that we've explored, in preceding levels, some of the information that is available about indexes, triggers, keys and distribution statistics, we can concentrate on the tables themselves and their columns.
2021-01-13 (first published: 2016-12-07)
6,265 reads
Spoofing Data Convincingly: Text Data
Learn how to generate some convincing data for your development databases.
2021-01-05
2,914 reads
2020-12-12
324 reads
Presenting the Facts about Data Breaches
If you're faced by an investigation team, after a data breach, it is no use putting on your 'Mr. Sincerity' face and making vague statements. They want documented facts.
2020-11-14
159 reads
Blogs
In-Person CISA Training – April 13-16, 2026
By Brian Kelley
I will be leading an in-person Certified Information Systems Auditor (CISA) exam prep class...
EightKB 2026
EightKB is back again for 2026! The biggest online SQL Server internals conference is...
The FinOps Lifecycle: From Budgeting to Reporting
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Working in DevOps long enough teaches you two universal truths: That’s exactly why I...
Forums
VS Code, Unresolved References.
Hi all, I just started using VS Code to work with DB projects. I...
Fun with JSON II
Comments posted to this topic are about the item Fun with JSON II
Changing Data Types
Comments posted to this topic are about the item Changing Data Types
Question of the Day
Fun with JSON II
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