Extended Properties Introduction
Part one of a four part series intent on demystifying and making more accessible SQL Server extended properties
2013-09-27 (first published: 2011-03-17)
23,818 reads
Adam Aspin
Data Profiling with T-SQL
Need to understand new data? This article explains why - and how you can profile it efficiently
2013-02-25
25,636 reads
Slowly changing dimensions using T-SQL MERGE
Of all the technical solutions to the problem of slowly changing dimensions, the T-SQL MERGE statement is one of the most elegant.
2011-06-20
41,726 reads
Industrial-strength database documentation using Extended Properties
To finish this short series on extended properties a look at documenting sets of database objects
2011-04-05
8,625 reads
Modifying and deleting extended properties
Continuing the short series on extended properties, this article explains how to turbocharge the creation of extended properties
2011-03-29
12,204 reads
Extracting Extended Properties
In this second article of a short series we look at using the Extended Properties which you have added to a database
2011-03-22
12,268 reads
A faster way to prepare dimensional databases
When you are obliged to create a dimensional database for an SSAS cube, how can you do it as fast as possible?
2010-12-17 (first published: 2010-02-24)
17,097 reads
Fast normalization of a denormalized data source, using surrogate IDs
A cursor-free way of normalizing data from a denormalized data source into a database which uses "surrogate" IDs.
2010-01-25
5,666 reads
SQL Server Agent Jobs – Displaying Status in an Application
This article shows ways of getting feedback to your users when running a SQL Server agent job from an ASP.NET page
2009-09-16
9,307 reads
Returning full error details from SQL Server Agent jobs
Tired of the truncated error history that is available for SQL Server Agent jobs in SSMS, here is a way to get deeper information - easily!
2009-09-09
42,650 reads
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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