External Article

Continuous Database Deployment with Confidence

To achieve gains from Database Lifecycle Management in general, and in Continuous Deployment in particular, it pays to aim for lightweight but consistent techniques and processes, refining them iteratively in the light of experience. Edward Elliott describes a Test-driven development process for developing SQL Server databases that worked for CD, based on a series of steps. Though the tools for CD may be necessary, they are not sufficient, without an effective structured process.

External Article

Introduction to Azure SQL Datab Sync

The majority of Azure SQL Database related features reach their General Availability (GA) stage relatively quickly. There are however, some exceptions. The most prominent example in this category is likely Azure SQL Data Sync, which has remained in Preview since its introduction 7 years ago. Fortunately, there are signs that this service might be finally reaching production-ready state. In this article, Martin Pollicht introduces its main characteristics.

Blogs

How AgentDBA Diagnoses SQL Server Issues Fast

By

Not every production incident is a database in RECOVERY_PENDING or a corrupted event (like...

Five Ways Redshift Serverless Quietly Eats Your Budget

By

It is Friday, the queries are running, and nobody is watching the bill. That...

A Career of Memories

By

Annabel retired from Redgate Software this week. Across most of my career at Redgate,...

Read the latest Blogs

Forums

Extreme DAX: Take your Power BI and Fabric analytics skills to the next level

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Extreme DAX: Take your Power...

What is the Cloud?

By Steve Jones - SSC Editor

Comments posted to this topic are about the item What is the Cloud?

Changing the Schema

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Changing the Schema

Visit the forum

Question of the Day

Changing the Schema

I set up a few users on my SQL Server 2022 instance.

CREATE LOGIN User1 WITH PASSWORD = 'Demo12#1'
CREATE USER User1 FOR LOGIN User1
GO
CREATE LOGIN User2 WITH PASSWORD = 'Demo12#2'
CREATE USER User2 FOR LOGIN User2
GO
CREATE LOGIN User3 WITH PASSWORD = 'Demo12#3'
CREATE USER User3 FOR LOGIN User3
GO
I then created a schema that one of them owned. Under this schema, I added a table with some data.
CREATE SCHEMA MySchema AUTHORIZATION User1
GO
CREATE TABLE Myschema.MyTable(myid INT)
GO
INSERT MySchema.MyTable
(
    myid
)
VALUES
(1), (2), (3)
GO
SELECT * FROM MySchema.MyTable
GO
I granted rights and verified that User2 could access this table.
GRANT SELECT ON Myschema.MyTable TO User2
GO
SETUSER 'USER2'
GO
SELECT * FROM MySchema.MyTable
GO
This worked. Now, I move this schema to a new user.
ALTER AUTHORIZATION ON SCHEMA::Myschema TO User3;
GO
What happens with this code?
SETUSER 'USER2'
GO
SELECT * FROM MySchema.MyTable
GO

See possible answers