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Time Traveling with Temporal Tables on SQL Server 2016

One of the new features of SQL Server 2016 is the ability to time travel in your databases and visit a specific table at a specific point of time in history. You can also use this feature to audit changes or “undo” whole data warehouse updates.

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2017-09-04 (first published: )

10,128 reads

External Article

Automating the Synchronization of RDS SQL Server Agent Jobs in a Multi-AZ Environment

Although Azure is the obvious Cloud service to host SQL Server, Amazon Relational Database Service (RDS) for SQL Server is a good choice when your organisation uses AWS. RDS deals with maintenance and monitoring, and supports the use of PowerShell to automate routine tasks. What if a script needs to be triggered by an unscheduled event? Even in this case, RDS can be configured to run scripts to react when something like a failover happens. Laerte Junior shows how easy it is to set up Lambda functions and some PowerShell scripts to automatically synchronise agent jobs after a failover.

2017-08-30

2,895 reads

External Article

Fighting Evil in Your Code: Comments on Comments

One of the most glib generalisations you can make about development work is to say that code should be liberally commented, or conversely that it should never be commented. As always, the truth is more complicated. There are many different types of comment and some types are best treated firmly with the delete key, where others are to be cherished and maintained assiduously. Even though it is hard to find two developers who agree on the topic of commenting, Michael Sorens warily sketches out the issues and the battleground.

2017-08-29

3,670 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