A simple question, and you can vote by leaving a comment for this article. Do you still want me to include the coping tips in the newsletter after June? When the pandemic shut down much of the world in March, our CEO at Redgate Software asked us to think about what we could do to […]
With the PASS Summit moving to a virtual format, Steve is going to support the event.
Microsoft provides a number of different deployment options for its Azure SQL Database offerings. While most of them share the same characteristics, one in particular warrants special attention from the standpoint of its infrastructure dependencies. That exception is Azure SQL Database Managed Instance, which will be the topic of this article.
From performance to recruitment, cloud adoption to estate growth, the findings from the 2020 State of Database Monitoring report offer us some key insights into the trends and challenges facing the industry this year. Redgate’s Jamie Wallis unpicks the findings in this latest blog.
An in depth look at the implications of using Banker's Rounding.
Today Grant talks about the challenges of sometimes finding good, current information.
SQL Change Automation enables users to make database changes to production safely and efficiently using PowerShell cmdlets, which can be integrated easily into any release management tool. This article will show you how to automate database deployments safely, by using SQL Change Automation from within PowerShell scripts, and how a deployment script for a release can be checked and amended as part of the process.
Most advice you see online about heaps is to avoid them. In this article, Uwe Ricken describes the basics of heaps so that you can determine when heaps are the best choice.
I remember when the first SQL databases were available on Azure. The size limits and missing features made them impractical for most uses at the time. Fast forward 10 years and you can you create a terabyte database and take advantage of configurations like Hyperscale, Elastic Pool, and Managed Instances. You get automatic high-availability and […]
One of the problems that I've seen in many parts of life is the belief that things must proceed a certain way. I caught an article on ways teachers have made school less fun for kids because they adhered to some rule or belief too tightly. I think many of those stories are true because […]
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The DBCC CHECKIDENT command is used when working with identity values. I have a table with 10 rows in it that looks like this:
TravelLogID CityID StartDate EndDate 1 1 2025-01-11 2025-01-16 2 2 2025-01-11 2025-01-16 3 3 2025-01-11 2025-01-16 4 4 2025-01-11 2025-01-16 5 5 2025-01-11 2025-01-16 6 6 2025-01-11 2025-01-16 7 7 2025-01-11 2025-01-16 8 8 2025-01-11 2025-01-16 9 9 2025-01-11 2025-01-16 10 10 2025-01-11 2025-01-16The docs for DBCC CHECKIDENT say this if I run with only the table parameter: "If the current identity value for a table is less than the maximum identity value stored in the identity column, it is reset using the maximum value in the identity column. " I run this code:
DELETE dbo.TravelLog WHERE TravelLogID >= 9
GO
DBCC CHECKIDENT(TravelLog, RESEED)
GO
INSERT dbo.TravelLog
(
CityID,
StartDate,
EndDate
)
VALUES
(4, '2025-09-14', '2025-09-17')
GO
What is the identity value for the new row inserted by the insert statement above? See possible answers