Articles

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Migrating a Disk-Based Table to a Memory-Optimized Table in SQL Server

The feature formerly known as Hekaton, now In-Memory OLTP can provide very useful performance gains where you carefully select the tables to become memory-optimised. How do you set about the job of converting existing tables to become memory-optimised tables? the process isn't entirely straightforward but the benefits that an In-Memory OLTP table delivers is worth your effort. Alex Grinberg takes you through the basics.

2017-04-03

5,510 reads

External Article

Working with Windows Containers and Docker: The Basics

When you begin to work with containers, you will notice many similarities between a container and a virtual machine; but, in fact, these are two quite different concepts. Containers are going to change the way that we do Windows-based development work in the coming year, and they already underpin much of the devops work of speeding the delivery process. Nicolas Prigent explains how to use the Windows Containers feature.

2017-03-31

6,296 reads

External Article

Handling Graphs in SQL

Many practical database problems can be tackled more simply and intuitively by graphs or networks, which in this sense are graphs in which attributes can be associated with the nodes and edges. It is a natural way to study relationships within the data. SQL databases aren't the easiest way of doing it, but it makes sense where the scale permits it. Because of the range of graphs and techniques, some Graph theory is unavoidable before you get stuck into the code, and who better to introduce graph databases than Joe Celko?

2017-03-29

5,270 reads

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The string_agg function

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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;

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