Raising Exceptions and Error Handling with SQL Server THROW
Learn how and why to use THROW in your SQL Server code to be able to better handle errors that may occur during code execution.
Learn how and why to use THROW in your SQL Server code to be able to better handle errors that may occur during code execution.
Passwords cracked in under an hour using modern hardware have Steve shaking his head.
This article tracks down a problem with Availability Groups due to network bandwidth.
Working remotely can be more than working at home, which Steve thinks helps the work-life balance.
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Learn how you can easily analyze the data lineage in your SQL Server database.
Meeting are work, even though we sometimes don't think of them as a productive part of our job.
Take on the challenge of deploying database changes every 30 minutes in Redgate's Summit pre-con 'The Journey from Manual Deployments to Database DevOps' on November 15.
Hosted by Steve Jones, Grant Fritchey and Redgate DevOps experts, you'll start with a manual process and slowly implement changes that allow you to reap the benefits of automation.
Before data can be read from of a SQL Server database table, the table needs to contain rows of data. One of the most typical ways to get data into a table is to use the INSERT statement. One row or multiple rows can be inserted with a single execution of an INSERT statement. You can even use the output of a stored procedure to insert rows. In this article, I will explore the basics of inserting data into a SQL Server table using the INSERT statement.
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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