How to fix SQL Server deadlocks with monitoring
Learn about deadlocks and how you might better troubleshoot the issues involved.
Learn about deadlocks and how you might better troubleshoot the issues involved.
The 2015/16 Simple-Talk Awards have concluded, the votes have been counted and recounted, and the winners have now been announced.
Waterfall is the practice most destructive to developer productivity? Nonsense, according to Phil Factor. Lack of basic team coordination skills comes much higher in the list.
Steve Jones looks at the idea of cataloging our data sets in order to make it easier for
With the new temporal table feature, SQL Server 2016 internally manages two tables: a base table, which contains the latest data all the time, and a history table, which contains a history of all of the changes. Arshad Ali looks at the new feature, how it works, and how to either create a new table with this feature or enable it for an existing table.
Special Characters can lead to many problems. Identifying and reporting on them can save a lot of headache down the road.
With database deployments, not all script-based processes are equal. Some use change scripts in a free-and-easy way, and some, which are normally called ‘migrations-based approaches’, have more discipline around them. In this article, Redgate Product Manager Elizabeth Ayer covers ‘migrations’, and shows some of the benefits that have come with new tooling which is specifically designed to assist the change script processes.
Naming objects and variables in software can create contention in a team. While there are good conventions and standards, ultimately a team just needs to agree on something.
Dynamic Data Masking allows you to obscure your confidential data column values at the database engine level for both new and existing SQL Server data. Being able to alter the definition of an existing column to add a masking rule makes it very simple to obscure your existing column values without even changing your application code.
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Comments posted to this topic are about the item Faster Data Engineering with Python...
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I have this code in SQL Server 2022:
CREATE SCHEMA etl;
GO
CREATE TABLE etl.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT etl.product
VALUES
(2, 'Bee AI Wearable');
GO
CREATE TABLE dbo.product
(
ProductID INT,
ProductName VARCHAR(100)
);
GO
INSERT dbo.product
VALUES
(1, 'Spiral College-ruled Notebook');
GO
CREATE OR ALTER PROCEDURE etl.GettheProduct
AS
BEGIN
exec('SELECT ProductName FROM product;')
END;
GO
exec etl.GettheProduct
When I execute this code as a user whose default schema is dbo and has rights to the tables and proc, what is returned? See possible answers