SQL Saturday #198, Vancouver, BC Session Files
This past weekend was SQL Saturday #198 in Vancouver, B.C. It started off with a leisurely drive up to Vancouver...
2013-02-19
1,246 reads
This past weekend was SQL Saturday #198 in Vancouver, B.C. It started off with a leisurely drive up to Vancouver...
2013-02-19
1,246 reads
Welcome to day 28 of my series 31 Days of Disaster Recovery. Today I want to talk about recovering SQL...
2013-02-22 (first published: 2013-02-14)
2,888 reads
Today is day 27 of my series 31 Days of Disaster Recovery, and I want to talk about restoring a...
2013-02-12
1,102 reads
The SQLSoldier World Tour kicks off this next Friday when I head up to Vancouver, in British Columbia, Canada. I...
2013-02-10
1,096 reads
Welcome back for day 26 of my series 31 Days of Disaster Recovery. Today I want to share a tale...
2013-02-10
1,120 reads
My series 31 Days of Disaster recovery has been on hiatus due mostly to illness. I’ve been battling a chest...
2013-02-10
1,294 reads
Welcome to day 24 of my 31 Days of Disaster Recovery series. Previously, I’ve talked about several different forms of...
2013-01-31
1,849 reads
It’s day 23 of my 31 Days of Disaster Recovery series, and today’s blog post is inspired from an email...
2013-01-29
1,582 reads
The end of the day is quickly approaching as I finish this blog post. This is day 22 in my...
2013-01-27
1,436 reads
Welcome back for day 21 of my 31 Days of Disaster Recovery series. Today I want to talk about trying...
2013-01-26
1,515 reads
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
I’ve uploaded the slides for my Techorama session Microsoft Fabric for Dummies and my...
If you've ever loaded a 2 GB CSV into pandas just to run a...
Comments posted to this topic are about the item Even When You Know What...
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...
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