Articles

External Article

A DLM Approach to Database Testing

Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.

2017-06-26

3,875 reads

External Article

Statistics in SQL: Simple Linear Regressions

Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.

2017-06-22

5,131 reads

Blogs

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,...

Rethinking Index Maintenance: Why avg_fragmentation_in_percent Is Outdated and What You Should Do Instead

By

As a SQL Server DBA with years of experience tuning production environments, I’ve seen...

Read the latest Blogs

Forums

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

Index Fragmentation Explained: Page Splits, Logical Reads, and What to Do

By Sanket Parmar

Comments posted to this topic are about the item Index Fragmentation Explained: Page Splits,...

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