PASS BI VC recording is available now
The recording of the webinar I did for the PASS BI virtual chapter is live!
(Quick reminder: it was the same...
2014-12-05
735 reads
The recording of the webinar I did for the PASS BI virtual chapter is live!
(Quick reminder: it was the same...
2014-12-05
735 reads
I was recently contacted by the fine gents of Webucator, an online training services provider. In order to promote their...
2014-11-27
1,073 reads
I have the great pleasure to announce that I have been nominated for the “Author of the Year” award at...
2014-11-20
525 reads
On November 17th 2PM CET I will redo my SQL Server Days presentation How to (not) torment your fellow SSIS...
2014-11-12
698 reads
Here is an overview of the articles I published in the third quarter of 2014.
INTENSE SCHOOL
MCSE Prep (SQL) – Using Parameters...
2014-10-24
784 reads
Some time ago I was writing some windowing functions on a set of data. Basically I was looking for the...
2014-10-15 (first published: 2014-10-07)
6,630 reads
This month’s T-SQL Tuesday is hosted by Tracy McKibben (blog | twitter) and is all about heroes (not the TV show).
Ada...
2014-10-14
1,184 reads
SQL Server Days 2014 is over, but it has been one great event. A very big thanks to the organizers!...
2014-10-06
511 reads
Lately I have been using more and more the awesomeness of the Alt-button in SQL Server Management Studio (SSMS). What...
2014-09-23
835 reads
After quite a while it has finally returned: another Stupid Me™®©! A reminder:
Every time I do something “stupid”, which happens...
2014-08-27 (first published: 2014-08-21)
7,372 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
If you've ever loaded a 2 GB CSV into pandas just to run a...
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
Comments posted to this topic are about the item The New Software Team
Comments posted to this topic are about the item Database Mail in SQL Server...
Comments posted to this topic are about the item 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