Articles

Technical Article

Maintaining a grouped running MAX (or MIN)

If you're on SQL Server 2012 or greater, you definitely want to become familiar with all of the extensions to the windowing functions first introduced in SQL Server 2005 – they may give you some pretty serious performance boosts when revisiting code that is still running "the old way." Aaron Bertrand explains.

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2015-10-21

4,230 reads

External Article

SQLXML Bulk Loader: The Sequel

SQLXML isn't exactly new technology, and parts of it aren't pretty, but if you need to heave vast quantities of XML data into a SQL Server database then you may come to appreciate the raw speed of which it's capable. Adam Aspin shows how to configure the SQL XML Bulk Loader tool for optimal data loading performance.

2015-10-20

2,973 reads

External Article

Webinar: Redgate Database Lifecycle Management (DLM) Demo

SSC's Steve Jones will show you how Redgate's DLM solution works to improve your database development and deployment processes. You'll see how to version control your databases from SSMS to track and understand changes, include your database in your Continuous Integration process to get quick feedback, automate your database deployment process to have safe, reliable, repeatable deployments, and more.

2015-10-19 (first published: )

4,162 reads

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Question of the Day

The string_agg function

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