2018-12-13
1,053 reads
2018-12-13
1,053 reads
How to identify backup tables within production databases that can be removed.
2018-10-05 (first published: 2018-09-28)
565 reads
2016-09-01
1,498 reads
'Temporal' tables contain facts that are valid for a period of time. When they are used for financial information they have to be very well constrained to prevent errors getting in and causing incorrect reporting. This makes them more difficult to maintain. Is it possible to have both the stringent constraints and simple CRUD operations? Well, yes. Dwain Camps patiently explains the whole process.
2015-03-26
9,819 reads
2014-04-11
2,223 reads
2013-06-25
2,916 reads
Temporary tables are used by every DB developer, but they're not likely to be too adventurous with their use, or exploit all their advantages. They can improve your code's performance and maintainability, but can be the source of grief to both developer and DBA if things go wrong and a process grinds away inexorably slowly. We asked Phil Factor for advice, thinking that it would be a simple explanation.
2011-09-22
6,511 reads
This articles brings a comparison of temporary tables with table variables from SQL Server author, Wayne Sheffield. In includes an in-depth look at the differences between them.
2012-06-08 (first published: 2009-06-10)
61,168 reads
Understanding the types of tables available in SQL Server can greatly enhance your database development experience.
2008-04-02
28,740 reads
One thing I’ve always loved about the Scooby-Doo cartoon is that he never solved...
By Kevin3NF
Flexibility and Scale at the Database Level When SQL Server 2012 introduced Availability Groups...
Setting page visibility and the active page are often overlooked last steps when publishing...
Comments posted to this topic are about the item Password Guidance
Comments posted to this topic are about the item Using table variables in T-SQL
I am trying to check out elastic query between two test instances we have...
What happens if you run the following code in SQL Server 2022+?
declare @t1 table (id int); insert into @t1 (id) values (NULL), (1), (2), (3); select count(*) from @t1 where @t1.id is distinct from NULL;See possible answers