GENERATE_SERIES()

Technical Article

The Power of Generate_series

  • Article

SQL 2022 introduced the function generate_series which permits us to solve problems for which we previously had to use a table of numbers (also known as a "tally table"). generate_series is a great addition, because when using a table of numbers there was always a risk that you could run out of numbers. Or some joker could have deleted rows from the table. All these worries are gone with generate_series.

You rated this post out of 5. Change rating

2025-03-05

SQLServerCentral Article

GENERATE_SERIES() Breaks Minimal Logging

  • Article

tl;dr The title says it all. Prologue One of the keys to my personal learning is that, very early in my database career, I taught myself how to make lot’s of rows of Random Constrained Data in a comparatively short time. With the help of a few good folks over time, the method has been […]

(9)

You rated this post out of 5. Change rating

2023-09-18

3,924 reads

Blogs

Ramblings about data communities and your contributions, no excuses

By

I have been active in the data community throughout my career. I have met...

SQL Server Journey till 2025 (brief)

By

Quick Summary for Microsoft SQL Server till 2025, I am fortunate to be part...

Building Power BI Reports: Desktop vs Fabric

By

Why this comparison feels confusing If you’re a Power BI report author who’s just...

Read the latest Blogs

Forums

Azure SQL Database | CREATE EVENT SESSION [Blocking_Capture] ON DATABASE

By DanielP

Hello, Is there a way in Azure SQL Database to change the 'Blocking Process...

Having a Little Fun at SQL Server Central

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Having a Little Fun at...

Designing SQL Server Pipelines That Are Ready for AI Before You Actually Need AI

By Ankush Rastogi

Comments posted to this topic are about the item Designing SQL Server Pipelines That...

Visit the forum

Question of the Day

String Similarity I

On SQL Server 2025, when I run this, what is returned?

SELECT EDIT_DISTANCE_SIMILARITY('SQL Server', 'MySQL')

See possible answers