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In-Memory OLTP: Row Visibility in SQL Server’s MVCC

SQL Server's In-memory OLTP is fast, due to its multi-valued concurrency control (MVCC). MVCC avoids the need for locks by arranging for each user connected to the database to see a snapshot of the rows of the tables at a point in time, No changes made by the user will be seen by other users of the database until the changes have been completed and committed. It is conceptually simple but does the user always see the correct version of a row under all circumstances? Shel Burkow explains.

External Article

DELETE Operation in SQL Server HEAPs

You should stick to using tables in SQL Server, rather than heaps that have no clustered index, unless you have well-considered reasons to choose heaps. However, there are uses for heaps in special circumstances, and it is useful to know what these uses are, and when you should avoid heaps. Uwe Ricken explains, and demonstrates why you'd be unwise to use heaps rather than tables when the data is liable to change.

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Many of have applications that log errors to a table. Ever thought about what happens when an application starts to throw a lot of errors? This article looks at the problem and some of the responses you might consider having ready in case it happens to you!

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Restoring On Top II

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Question of the Day

Restoring On Top II

I have a database, DNRTest, that has a number of tables and other objects in it. The other day, I was trying to mock up a test and ran this code on the same server:

-- run yesterday
CREATE DATABASE DNRTest2
GO
USE DNRTest2
GO
CREATE TABLE NewTable (id INT)
GO
Today, I realize that I need a copy of DNRTest for another mockup, and I run this:
-- run today
USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO
RESTORE DATABASE DNRTest2 FROM DISK = 'dnrtest.bak' WITH REPLACE
What happens?

See possible answers