Category: T-SQL

Chad Callihan rolls up the data:

When learning T-SQL, I’d wager that learning GROUP BY comes up early in the process. What may not be mentioned are the variations that can be added to a GROUP BY clause. Are you familiar with GROUP BY GROUPING SETS, GROUP BY ROLLUP, and GROUP BY CUBE? If you’ve never seen these used, or if you have and want a refresher, read on as we look at an example of each.

Of the three, CUBE is the one that I’ve used the least. I’ve found good instances where ROLLUP gives me exactly what I want for reporting purposes, and GROUPING SETS is powerful enough that I’ve made use of it a fair number of times. But CUBE just returns back too many combinations for what I’ve needed.

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Koen Verbeeck takes a peek at a pair of new features in SQL Server 2025:

Often new T-SQL functionality is released first in the Azure cloud environment, before it makes its way to the on-premises SQL Server product. Recently, a new T-SQL function and operator went general available in Azure SQL DB (and Azure SQL Managed Instance): UNISTR and the ANSI SQL string concat operator (||). In this tip, we’ll introduce you to both concepts.

Koen looks at these in Azure SQL Database, though if you have the public preview of SQL Server 2025, you can try both out there as well.

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Louis Davidson wraps up a series on regular expressions:

I am only combining them into a short version because they are, in how they work, very similar to all the other functions. I certainly will demonstrate all the functionality for each function, but not to the extra level I have in previous blogs.

This time, I will cover:

• REGEXP_INSTR Returns the starting or ending position of the matched substring, depending on the option supplied.
• REGEXP_COUNT Returns a count of the number of times that regex pattern occurs in a string.

Read on to see how these work in SQL Server 2025.

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Louis Davidson continues a series on regular expressions:

The REGEXP_SUBSTR function extracts parts of a string based on a regular expression pattern. It has some similarieties with the SUBSTRING function, but with some important (and interesting) differences. This function returns Nth occurrence of a substring that matches the regex pattern.

Read on to see how it compares to the traditional SUBSTRING() function.

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Steve Jones gins up a demo:

I saw this as a question submitted at SQL Server Central, and wasn’t sure it was correct, but when I checked, I was surprised. If you choose to designate columns as sparse, but you have a lot of data, you can use more space.

This post looks at how things are stored and the impact if much of your data isn’t null.

I consider sparse columns a relic of the mid-aughts era, when storage was a lot more expensive and compression was an Enterprise Edition-only feature. Given that you can use page compression in any edition of SQL Server nowadays, I don’t think there’s a viable reason ever to have a sparse column.

Also, definitely check out the comments, where Jeff Moden has a great one.

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