2011-03-09
3,058 reads
2011-03-09
3,058 reads
2011-02-23
2,653 reads
We have recently found an elegant way to reduce the time, and disk space required for SharePoint administrators who need to perform granular recovery operations out of their SQL Server backup files. I used to get customer calls that would go something like this:
2011-02-23
2,185 reads
2011-02-16
2,680 reads
2011-02-11 (first published: 2011-01-31)
2,938 reads
Get an idea of how to handle the housekeeping tasks associated with backups, like removing old backup and log files.
2014-02-17 (first published: 2011-01-26)
14,607 reads
Learn how to write a script for regular database backups using Powershell and SMO.
2013-05-17 (first published: 2011-01-05)
22,472 reads
This script create Job and backup the database.This job backup the database.This job is scheduled for particular time.
2011-01-06 (first published: 2010-12-23)
2,097 reads
Simple script formatting the date and naming a backup file path for a t-log and restoring those logs.
2010-12-29 (first published: 2010-12-15)
1,499 reads
2019-05-03 (first published: 2010-12-15)
2,985 reads
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...
By Steve Jones
Recently I ran across some code that used a lot of QUOTENAME() calls. A...
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