Stairway to Database Source Control

Stairway to Database Source Control Level 4: Getting a Database into Source Control (Distributed Repository)

Now that we have our database under source control, we will want to share our work with other developers. If we are in a centralized source control system, our changes may be committed straight into the central repository.

When we are working in a distributed system, it means pulling down any changes from other developers, addressing any areas of conflict, and pushing our changes up to allow others to benefit from our work. This allows our changes to be synchronized with the changes other developers have made.

This level is principally about setting up a distributed source control system, namely Git, and how to commit database development changes to a local repository, before pushing them into a remote 'central' repository for sharing with other developers.

The next level will delve a little deeper into Git's versioning mechanisms, and show some examples of how to share database changes during development, and how to deal with conflicting changes.

External Article

The SQL Server 2016 Query Store: Built-in Reporting

One of the most important features of the SQL Server 2016's new Query Store is the reporting. With these features, it is now possible to get a wealth of information on how your query workload is performing, either aggregated for the entire query workload or for a single query. With this information, you can see the effects of 'forcing' an execution plan for specific queries and get feedback of the consequences.

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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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