Microservices in SQL Server
In SQL Server 2017 consuming or providing JSON data is so efficient that you can implement effective microservices right from the database, argues Phil Factor.
2017-11-13
2,025 reads
Phil Factor
- Interests: Motorbikes, Beer, gardening, conservation, Local history.
Timing is Everything
Phil Factor on the wise habit of timing your database routines, to avoid relying on received wisdom about performance.
2017-10-16
90 reads
The Achilles Heel
In a long career in IT, Phil Factor cannot recall a 'major incident', where the failure or breach was due to a single 'Achilles Heel', or even a single team of people. They are always due to a whole plethora of slack and ignorant practices.
2017-10-09
108 reads
The Worms-eye View
Even the most elaborate team-based development methodology won't compensate for the blinkered attitudes and tribal cultures that come from over-specialization in IT.
2017-10-02
72 reads
Avoiding the Hell of having to Remember DDL syntax
What's your favorite productivity tool when writing SQL? Phil Factor has has flirted with most of them, from templates and snippets to a programmer's clipboard and back again.
2017-09-18
120 reads
The struggle to renormalize data
You are given an export of a NoSQL database, in JSON, and asked to import it into a relational database. Sounds easy? It isn't and Phil Factor explain why.
2017-09-11
217 reads
The art of getting it right
Phil Factor advocates paying attention when it doesn't matter to prepare for when it does.
2017-08-14
101 reads
The Tethered Goat
Phil Factor's a 'tethered goat' database taught in the value of database intrusion detection and of "defense in depth".
2017-08-07
99 reads
The Forgotten Editorial
Phil Factor reflects on the occasional benefits of document loss, whether accidental or less so.
2017-06-26
69 reads
The Value of Surveys
Phil Factor on the perils of trying to squeeze good insights out of bad surveys.
2017-06-12
65 reads
Blogs
AI: Blog a Day – Day 4: Transformers – Encoder, Decoder, and Attention
By Vinay Thakur
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today...
Flyway Tips: Multiple Projects
By Steve Jones
One of the nice things about Flyway Desktop is that it helps you manage...
What DevOps Look Like in Microsoft Fabric
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
Forums
Can an Azure App Service Managed Identity be used for SQL Login?
I'm fairly certain I know the answer to this from digging into it yesterday,...
Azure Synapse database refresh
Hi Team, I am trying to refresh the Azure Synapse Dedicated pool from production...
how to write this query?
hi everyone I am not sure how to write the query that will produce...
Question of the Day
Fun with JSON I
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