Articles

External Article

Six Scary SQL Surprises

The working life of the DBA can be punctuated by surprises, but they aren't generally nice surprises. This is especially true if the DBA is not checking and monitoring the databases for obvious things such as database corruption, and disk space. However, the really scary surprises are less obvious and provide fewer warning signs. Brent Ozar gives six scary surprises that can be avoided by the shrewd DBA.

2017-10-31

7,099 reads

External Article

Backup SQL Server Databases in Parallel with PowerShell

I have a need to decrease the time my SQL Server database backups are taking to run. I thought about trying to run multiple backups at the same time to see if that would work. I could have created multiple SQL Server Agent Jobs to run at the same time, but I wanted a more dynamic way to handle this, so I created a PowerShell script that allows processes to run in parallel.

2017-10-30

3,911 reads

External Article

The SQL Server Features that Time Forgot

Every new release of SQL Server comes with new features that cause a ripple of excitement within the industry: well, amongst the marketing people anyway. What happens to all the exciting TLAs that are bandied about when a new version launches? It's mixed, it seems. Adam Machanic's classic post, The SQL Hall of Shame, has inspired Rob Sheldon to look back at some of the features that, though worthy, have may have failed to hit the mainstream.

2017-10-27

5,970 reads

External Article

SQL Server R Services: Working with ggplot2 Statistical Graphics

It is when you use R in SQL Server with one of the huge range of packages that comes with it that you can begin to appreciate the power of the system. With a package such as ggplot there are many 'knobs one can twiddle' in order to get spectacular and informative visualisations. Rob Sheldon continues his beginners series for R in SQL Server by showing how to refine the output to get it as you need it.

2017-10-25

3,267 reads

Blogs

Stop Using Pandas for Aggregations — Try DuckDB Instead

By

If you've ever loaded a 2 GB CSV into pandas just to run a...

Understanding Fabric Ontology

By

What problem is Fabric Ontology trying to solve? For years, most data conversations have...

QUOTENAME Basics: #SQLNewBlogger

By

Recently I ran across some code that used a lot of QUOTENAME() calls. A...

Read the latest Blogs

Forums

The New Software Team

By Steve Jones - SSC Editor

Comments posted to this topic are about the item The New Software Team

Database Mail in SQL Server 2022

By Abdellateef Ibrahim

Comments posted to this topic are about the item Database Mail in SQL Server...

The string_agg function

By Alessandro Mortola

Comments posted to this topic are about the item The string_agg function

Visit the forum

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