Articles

External Article

Checking SQL Server with Policy-Based Management

Policy-Based Management, a feature of SQL Server, is a flexible tool that can help DBAs manage one or more SQL Server instances. It's used for monitoring and enforcing a standard set of policies for SQL Server throughout an organization. While there are many built-in conditions from which to choose, Dennes demonstrates how to set up a custom policy as well as a standard one. Viewing the policy status over many servers can be tedious, so he also explains how DBAs can evaluate the states of multiple servers with just one glance.

2017-12-12

2,640 reads

External Article

SQL Server R Services: Working with Multiple Data Sets

Although it is easy to use SQL Server R Services to create R scripts that incorporate SQL Server data by passing in a T-SQL query as an argument when calling the sp_execute_external_script stored procedure, you are limited to that one query, unless you pass additional data directly between R and SQL Server via CSV files. It is simple to do, and opens up many additional opportunities for data analysis. Robert Sheldon explains how.

2017-12-07

3,542 reads

External Article

Importing JSON Data from Web Services and Applications into SQL Server

To support many applications, it makes sense for the database to work with JSON data, because it is the built-in way for a JavaScript or TypeScript application to represent object data. It can mean less network traffic, looser coupling, and less need for the application developer to require full access to the base tables of the database. However, it means that the database must do plenty of checks first before importing. Phil Factor explains how it can be easily done.

2017-12-04

4,513 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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