Pie in the Sky

Blog Post

Dynamic Data Masking

Dynamic Data Masking
FEBRUARY 26, 2015

Have you ever wanted to only show parts of a field to certain sets of users such as credit card numbers, telephone numbers or last...

2015-02-26

7 reads

Blog Post

Runbooks in SQL Azure

Runbooks in SQL Azure
DECEMBER 2, 2014

SQL Azure Runbooks promise to be your “SQL Server Agent in the cloud”. They enable you to use PowerShell Scripts inside of SQL Azure...

2014-12-10

51 reads

Blogs

The Book of Redgate: Profits

By

Redgate is a for-profit company. We look to make money by building and selling...

Session Materials for Techorama & DataGrillen 2026

By

I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...

Stop Using Pandas for Aggregations — Try DuckDB Instead

By

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

Read the latest Blogs

Forums

Even When You Know What You're Doing, You Can Screw Up

By Grant Fritchey

Comments posted to this topic are about the item Even When You Know What...

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...

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