2009-02-19
3,247 reads
Backup and restore
Backup on the fly based on previous backups
This script uses the system backup history to run a differential backup and place it in the directory of the last full backup.
2009-03-06 (first published: 2009-02-12)
642 reads
Understanding Logging and Recovery in SQL Server
Logging and recovery are critical parts of SQL Server, but they are often poorly understood. Paul Randal gives an overview of how the logging and recovery features work in SQL Server and explains the transaction log and recovery models to help you maintain a better database.
2009-01-23
3,187 reads
2009-01-14
3,608 reads
2008-12-18
3,268 reads
Create Backups without Breaking the Database Backup Sequence
This article shows how the COPY_ONLY clause can be used to ensure that an ad-hoc database backup do not break the backup sequence
2008-12-18
3,341 reads
2008-12-17
3,693 reads
2008-12-16
3,789 reads
2008-12-11
3,817 reads
Backup and Truncate Transaction Logs
Save the transaction log and truncate the file to prevent Tlogs FULL Error
2008-12-16 (first published: 2008-11-17)
2,704 reads
Blogs
The Book of Redgate: Profits
By Steve Jones
Redgate is a for-profit company. We look to make money by building and selling...
Stop Using Pandas for Aggregations — Try DuckDB Instead
If you've ever loaded a 2 GB CSV into pandas just to run a...
Understanding Fabric Ontology
By James Serra
What problem is Fabric Ontology trying to solve? For years, most data conversations have...
Forums
The New Software Team
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Database Mail in SQL Server 2022
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The string_agg function
Comments posted to this topic are about the item The string_agg function
Question of the Day
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