Day 10 of 31 Days of Disaster Recovery: Monitoring for Corruption Errors
31 Days of Disaster Recovery
It’s day 10 of my 31 Days of Disaster Recovery series, and I want to...
2013-01-11
1,330 reads
31 Days of Disaster Recovery
It’s day 10 of my 31 Days of Disaster Recovery series, and I want to...
2013-01-11
1,330 reads
31 Days of Disaster Recovery
Welcome to day 9 of my 31 Days of Disaster Recovery series. Today, I want...
2013-01-09
2,207 reads
T-SQL Tuesday #38
This post is not only day 7 of my 31 Days of Disaster Recovery series, it is...
2013-01-08
1,346 reads
Day 7 of 31 Days of Disaster Recovery: Writing SLAs for Disaster Recovery
31 Days of Disaster Recovery
Today is day...
2013-01-08
1,572 reads
Day 6 of 31 Days of Disaster Recovery: Dealing With Corruption in Allocation Pages
31 Days of Disaster Recovery
Yesterday, I...
2013-01-06
1,615 reads
31 Days of Disaster Recovery
Welcome to day 5 of my series on disaster recovery. I want to start digging...
2013-01-08 (first published: 2013-01-06)
3,155 reads
Day 4 of 31 Days of Disaster Recovery: Back That Thang Up
31 Days of Disaster Recovery
Here we are at day...
2013-01-04
1,026 reads
Day 3 of 31 Days of Disaster Recovery: Determining Files to Restore Database
31 Days of Disaster Recovery
Welcome back for day...
2013-01-04
2,295 reads
Day 2 of 31 Days of Disaster Recovery: Protection From Restoring a Backup of a Contained Database
31 Days of Disaster...
2013-01-02
1,765 reads
SQLBits XI: Need Your Vote
SQL Bits XI
SQLBits XI is in Nottingham, U.K., May 2 – 4, 2013, and I am attending....
2013-01-03 (first published: 2013-01-02)
1,034 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