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)
24,097 reads
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)
24,097 reads
Need to understand new data? This article explains why - and how you can profile it efficiently
2013-02-25
25,749 reads
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
41,892 reads
To finish this short series on extended properties a look at documenting sets of database objects
2011-04-05
8,634 reads
Continuing the short series on extended properties, this article explains how to turbocharge the creation of extended properties
2011-03-29
12,231 reads
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
12,306 reads
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)
17,148 reads
A cursor-free way of normalizing data from a denormalized data source into a database which uses "surrogate" IDs.
2010-01-25
5,679 reads
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
9,330 reads
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
43,028 reads
By Steve Jones
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We create the following table and then insert some records in it:
create table t1 ( id int primary key, category char(1) not null, product varchar(50) ); insert into t1 values (1, 'A', 'Product 1'), (2, 'A', 'Product 2'), (3, 'A', 'Product 3'), (4, 'B', 'Product 4'), (5, 'B', 'Product 5');What happens if we execute the following query in both Sql Server and PostgreSQL?
select id,
category,
string_agg(product, ';')
over (partition by category order by id
rows between unbounded preceding and unbounded following) as stragg
from t1; See possible answers