Gail Shaw's SQL Server Howlers
For the latest in our series of SQL Server Howlers, we asked Gail Shaw which common SQL Server mistakes and misunderstandings lead to tearful DBAs and plaintive cries for help on the forums.
2012-09-10
3,694 reads
For the latest in our series of SQL Server Howlers, we asked Gail Shaw which common SQL Server mistakes and misunderstandings lead to tearful DBAs and plaintive cries for help on the forums.
2012-09-10
3,694 reads
To kick off a series of DBA worst case scenarios, we asked Phil Factor to confess. He came up with a classic: The mistaken belief that a backup WITH CHECKSUM guaranteed a good backup that could be restored, and the ensuing disaster.
2012-02-02
5,280 reads
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Comments posted to this topic are about the item Creating JSON III
Comments posted to this topic are about the item Testing is Becoming More Important
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers