Articles

External Article

Using the DbFit Framework for Data Warehouse Regression Testing

It is ironic that the users of database application need to rely on the very technologists that created the system to then devise and run their acceptance tests. Surely someone has devised a test system for databases that is simple enough for ordinary tech-savvy people to use and for them to create the tests? Yes they have. Fitnesse DbFit is a mature product that can, and does, test SQL Server databases, and Nat Sundar explains how to set it up and do it.

2017-05-18

3,142 reads

External Article

Encrypting SQL Server: Dynamic Data Masking

Dynamic Data Masking is a good way of rendering data unreadable for such purposes as user-acceptance testing, or demonstrating an application. It doesn't encrypt the data, and a knowledgeable SQL user can defeat it. However it provides a simple way to administer from the database what data the various users of a database application can and can not see, making it a useful tool for the developer.

2017-05-16

3,672 reads

SQLServerCentral Article

How Long Before Your Database Runs Out of Space?

Almost all SQL Server databases grow in size over time. Capacity planning is an important activity for the DBA. You need to know how long before you run out of space long before you actually do. Here are some helpful tips and tricks.

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2017-05-12 (first published: )

7,779 reads

External Article

Displaying Backup or Restore Progress

Have you ever started a database backup or a restore process that runs a long time then wanted to know when it will complete? Knowing when a database backup or restore operation will complete provides you valuable information, especially when you need to perform follow-on tasks that are waiting for the backup or restore process to complete.

2017-05-12

4,017 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