External Article

Using the Data Profiling SQL Server Integration Services SSIS task

Have you ever had to write a bunch of TSQL to do some data analysis on the table data in your database. If you have you'll know that this can become a fairly time consuming and tedious task? SQL Server 2012 Integration Services has a feature called the Data Profiling task that can help you perform this analysis much easier and faster (this feature is also available in SQL Server 2008). This task can help you find potential issues with your existing data as well as help you become more familiar with the data in a database that you have just started managing.

SQLServerCentral Editorial

Baselines

It can be hard to analyze performance without a baseline. This week, Steve Jones asks how you might use your baseline to better determine what problems you are having with your SQL Server.

Blogs

The Book of Redgate: Profits

By

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

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...

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