With SQL Server 2012 Microsoft introduced the AlwaysOn Availability Group feature, and since then many changes and improvements have been made. This article is an update to another article, and will cover the prerequisites and steps for installing AlwaysOn in your SQL Server 2019 environment. Prerequisites Before implementing your AlwaysOn Availability Group (AG), make sure […]
2020-12-07
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2020-11-16
650 reads
2020-10-22
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2020-10-15
468 reads
2020-09-21 (first published: 2020-08-25)
2,662 reads
Learn how to ensure your PolyBase objects are accessible from all nodes in an Availability Group.
2020-05-26
3,931 reads
Learning about the Availability Group technology can be valuable for your career. Today Steve asks if you've deployed one, and if not, perhaps you want to try.
2024-03-11 (first published: 2020-04-03)
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Availability databases hosted on SQL Server Always On Availability Groups (AG) can be connected using a unique Virtual Network Name (VNN), called the Availability Group Listener. When an Availability Group is enabled, clients can connect to databases in both primary and secondary replicas without explicitly specifying the SQL Server instance name. You don’t even need […]
2019-07-02
140,704 reads
In this case, the cause of the long failover time was enabling Query Store after upgrading, for a database with a large workload of ad hoc queries, meaning there was 100GB of Query Store data to load.
2019-05-31
2018-11-15
718 reads
By Steve Jones
I caught this interesting item over on Pinal Dave’s blog: Eleven Interview Questions that...
By Hemantgiri
I use color-coded connections in SSMS to distinguish Production, Pre-Production, UAT, and Development. But...
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I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table:
CustomerID CustomerName PreferredName 1 Steve Steve 2 Andy Andy 3 Brian Brian 4 Allan Allan 5 Devin Devin 6 Steve Steve 7 Sally SallyI want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows?
SELECT
CustomerID,
CustomerName,
PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName); See possible answers