Avoiding Logging
It seems that some people think that you can perform actions in SQL Server without logging them in the transaction log. Steve Jones talks about this myth and says it's not even an option he'd like to have.
It seems that some people think that you can perform actions in SQL Server without logging them in the transaction log. Steve Jones talks about this myth and says it's not even an option he'd like to have.
Join this webinar from Pluralsight, a very well known developer training company. Learn how SQL Source Control can help you keep track of your code.
SQL Server is able to make implicit use of parallelism to speed SQL queries. Quite how it does it, and how you can be sure that it is doing so, isn't entirely obvious to most of us. Paul White begins a series that makes it all seem simple, starting at the gentle level of counting Jelly Beans.
Phil Fator, the self-confessed wild man of T-SQL, finally comes clean: he's a secret PowerShell user. But for the DBA, what is PowerShell without SMO? Is Microsoft giving the latter the care and attention it needs?
Steve Jones talks about the way business ought to run, with more long term goals and objectives taking precedence over short term revenue. One idea that might help us is having a wisdom department that looks forward and tries to grow the business for the long term.
This challenge invites you to write a query that converts binary values into decimal format.
When I read various forums about SQL Server, I frequently see questions from deeply mystified posters. They have identified a slow query or stored procedure in their application. They cull the SQL batch from the application and run it in SQL Server Management Studio (SSMS) to analyse it, only to find that the response is instantaneous. At this point they are inclined to think that SQL Server is all about magic. A similar mystery is when a developer has extracted a query in his stored procedure to run it stand-alone only to find that it runs much faster – or much slower – than inside the procedure.
The second part of Steve Jones' series on coding standards within SQL Server.
Often in database design we store different values in rows to take advantage of a normalized design. However many times we need to combine multiple rows of data into one row for a report of some sort. New author Carl P. Anderson brings us some interesting T-SQL code to accomplish this.
This Friday Steve Jones talks about the commitments and contracts that you may have with your customers. Do you know what they are? Is the contract explicitly spelled out? Take this Friday's poll and share your answer with everyone else.
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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 GOI 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 GOThis worked. Now, I move this schema to a new user.
ALTER AUTHORIZATION ON SCHEMA::Myschema TO User3; GOWhat happens with this code?
SETUSER 'USER2' GO SELECT * FROM MySchema.MyTable GOSee possible answers