T-SQL Tuesday #45 – Who’s Auditing My SSIS Packages?
It’s time once again for that monthly geek party again we like to call T-SQL Tuesday. T-SQL Tuesday #45 is...
2013-08-13
867 reads
It’s time once again for that monthly geek party again we like to call T-SQL Tuesday. T-SQL Tuesday #45 is...
2013-08-13
867 reads
I recently encountered a DBCC CHECKDB failure with a fairly non-specific failure message. The error message said it terminated abnormally...
2013-07-24
7,227 reads
Lately, I’ve been finding more and more reasons to look in the transaction log for investigative purposes. Questions come up...
2013-05-27
1,202 reads
A little more than a year ago while working at Idera, I was consulted on reports from a few clients...
2013-05-21
1,221 reads
It’s time for that monthly geek party again we like to call T-SQL Tuesday. T-SQL Tuesday is one of the...
2013-04-09
1,152 reads
A network pipeline isn’t nearly as pleasant to look at as the oil pipeline (or anything) in Alaska, but it’s...
2013-03-27
3,271 reads
It has been a long journey to the final day my 31 Days of Disaster Recovery series, but we have...
2013-03-28 (first published: 2013-03-25)
2,426 reads
It’s been a tough and long road to 31 Days of Disaster Recovery. It’s been very difficult coming up with...
2013-03-12
1,342 reads
I am currently going through the process of looking for a new opportunity for my career. I’m going through the...
2013-03-08 (first published: 2013-03-01)
6,042 reads
For day 29 of my 31 Days of Disaster Recover series, I want to talk about restoring replicated databases from...
2013-02-25
1,344 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