SQL Saturday 277 RVA Lessons Learned
Once again it is an honor to attend such a great event and meet up with other like minded geeks....
2014-03-24
476 reads
Once again it is an honor to attend such a great event and meet up with other like minded geeks....
2014-03-24
476 reads
This is a special edition for SQL Snacks. It is one (of many hopefully) SQL Snacks that has been recorded...
2014-03-10
916 reads
SQL Saturday has been a fantastic experience for me here in the DC area (I blogged about it here) and...
2014-03-04
599 reads
Instant File Initialization (IFI) is an interesting topic with regards to how SQL Server works with storage. It is an...
2014-02-11
645 reads
There are many features/options we sometimes overlook and then wonder later what went wrong. The COPY_ONLY option with backups is...
2014-01-29
689 reads
In December 2013 I presented at a SQL Saturday event in Washington DC. My presentation was about Backup and Recovery...
2014-01-16
638 reads
To snack lovers every where now you can consume SQL Learning the same way, in Snack Size! Introducing the new...
2014-01-16
568 reads
Today I will be reviewing the product ApexSQL Log which is a tool designed for Transaction Log discovery and recovery....
2014-01-08
796 reads
??????? ??????? ?? ??????! ?????? ????? ? ???? ???? ? ?????? ???? ??? ???? ??????? ????? ?? SQL Server 2012....
2013-12-18
2,216 reads
That’s right, it’s time to take this blog up a notch! Last week I posted a video about using Hyper-V...
2013-12-11
614 reads
I’ve been thinking a lot lately about what it actually takes to make an...
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...
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