After reading a recent article on identifying islands and gaps in sequential numbers, one of our readers was inspired to develop a more efficient solution for fragmented data. New Author Goce Smilevski brings us his solution and supporting data to show how this can be done better.
2021-04-16 (first published: 2004-11-22)
11,161 reads
It is often necessary to generate a table with sequential numbers, up to a specified upper limit N. For small N, a simple INSERT in a WHILE loop will do. But, for large N, that solution becomes too slow. This script presents a different approach. It generates sequential numbers from the binary representation of N, […]
2004-12-30 (first published: 2003-11-24)
613 reads
This a modification to the script given by Preethi.It generates prime numbers to the upper bound you specify.Modifications are using following facts from algebra:1. All prime numbers greater than 3 can be written in the form 6 * X +/- 1.2. Instead of checking the module for ALL numbers
2003-09-25
369 reads
By Steve Jones
I missed blogging yesterday as I was on stage/backstage for quite a bit of...
By Brian Kelley
A common theme in the PASS Summits I've attended is community and that's definitely...
By Chris Yates
I am excited to cover the Microsoft Keynote on Day 2: Redgate Keynote: Simplifying...
Hello T-SQL experts I have a table containing team codes and descriptions. Unfortunately, many...
Hi, In my Always On Availability environment, I am seeing two encrypt_option values as...
I have this data in a SQL Server 2019 database:
Customer table CustomerID CustomerName 1 Steve 2 Andy 3 Brian 4 Allen 5 Devin 6 Sally OrderHeader table OrderID CustomerID OrderDate 1 1 2024-02-01 2 1 2024-03-01 3 3 2024-04-01 4 4 2024-05-01 6 4 2024-05-01 7 3 2024-06-07 8 2 2024-04-07I want a list of all customers and their order counts for a period of time, including zero orders. If I run this query, how many rows are returned?
SELECT c.CustomerName, COUNT(oh.OrderID) FROM dbo.Customer AS c LEFT JOIN dbo.OrderHeader AS oh ON oh.CustomerID = c.CustomerID WHERE oh.Orderdate > '2024/04/01' GROUP BY c.CustomerNameSee possible answers