SQL Server

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Dive into RDS Custom for SQL Server - Leverage your existing licenses and high availability

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RDS Custom for SQL Server recently released exciting new features related to Bring Your Own Media (BYOM) and High Availability. By using BYOM, customers may leverage their existing SQL Server licenses with Amazon RDS Custom for SQL Server, when used in accordance to Microsoft terms. This allows customers who have already purchased SQL Server licenses to save on TCO/license costs, while offloading the undifferentiated heavy lifting of database management to Amazon RDS Custom. By using Multi-AZ deployment, customers can now set up high availability for their databases.

2023-08-14

External Article

GENERATE_SERIES: My new go-to to build sets

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I have come across a lot of use cases for manufacturing rows on the fly, aside from the common goal of populating a large data set such as a numbers or calendar table. A few favorites include building sample data, pivoting an unknown number of columns, data extrapolation, and filling gaps in date or time ranges.

2023-07-26

SQLServerCentral Article

SQL Server Resumable Index Operations

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The ability to pause and then resume index rebuilds has been added to SQL Server. This is a fantastic feature, and with the release of SQL Server 2019, we can now replicate it on the actual create index process. Learn how to use this feature in this short article.

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2023-06-26

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What's New for the Microsoft Data Platform

By Steve Jones - SSC Editor

Comments posted to this topic are about the item What's New for the Microsoft...

Using Outer Joins

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Using Outer Joins

Closest to ProcDate

By boehnc

Not sure I have this 2nd left join correct. I need to grab the...

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Question of the Day

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          2024-04-07
I 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.CustomerName

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