May 2012 – Monthly SQL Server Checklist
They say, “April showers bring May flowers.” But what if it doesn’t bring May flowers? What if instead you get...
2012-05-08
833 reads
They say, “April showers bring May flowers.” But what if it doesn’t bring May flowers? What if instead you get...
2012-05-08
833 reads
It’s been just over two months since I started my small home garden. The initial work to clear the area...
2012-05-08
649 reads
Conferences are awesome. They are full of people and sessions. Almost…TOO many sessions. How on Earth do you get in...
2012-05-08
1,164 reads
Last week we blogged about “How to configure Database mail” – this week we’ll have a closer look at what to...
2012-05-08
9,776 reads
This month the topic is hosted by Chris Shaw, and his topic is ethics.
The blog party is the second Tuesday...
2012-05-08
1,056 reads
This latest installment of T-SQL Tuesday #30, is hosted by SQL MVP, Chris Shaw who asks us to write on a...
2012-05-08
1,890 reads
Chris Shaw (@SQLShaw|Blog) is hosting T-SQL Tuesday this month. It has been a while since I participated and this month...
2012-05-08
809 reads
You might constantly see a warning message that appears like the one below when creating Analysis Services Tabular projects. It...
2012-05-08
1,090 reads
Denali – Day 7 : Contained Database
Contained database is another new feature for sql server 2012 – Denali, earlier version has a big...
2012-05-07
1,215 reads
In Data Quality Services, composite domains can be created to associate together two or more natural domains within a knowledge...
2012-05-07
1,191 reads
By Chris Yates
I’m thrilled to be covering the Microsoft Keynote: Fuel AI Innovation with Azure Databases on Day...
By James Serra
Many customers ask me about the advantages of moving from Azure Synapse Analytics to...
By Brian Kelley
The last data centric conference I attended was the PASS Summit in 2019. A...
Comments posted to this topic are about the item What's New for the Microsoft...
Comments posted to this topic are about the item Using Outer Joins
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