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

3,942 reads

Blogs

Advice I Like: Rewards from Work

By

The greatest rewards come from working on something that nobody has words for. If...

Overcoming Challenges: Navigating Common Pitfalls in FinOps Adoption

By

Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...

Why your data still can’t answer a simple question 

By

Every organization I talk to has the same problem dressed up in different clothes....

Read the latest Blogs

Forums

The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI

By Terry Jago

Comments posted to this topic are about the item The day-to-day pressures of a...

Analysis Services Model w/ Direct Query and (Default Veritpaq)

By Archivist

Analysis Services (either the integrated workspace in Power BI or on a SQL Server)...

Don't Panic

By Grant Fritchey

Comments posted to this topic are about the item Don't Panic

Visit the forum

Question of the Day

Identities and Sequences IV

When thinking about the identity property and sequence objects, which of these can be used with numeric and decimal data types?

See possible answers