How to Prevent When a Transaction Accidentally Overwrites Modified Data

The purpose of this article is to explain how to prevent a lost update from occurring in SQL Server. The method is done using row version checking which extends the check of the data version outside the transaction scope. It looks at: Why row version check is often required even though pessimistic locking is used, how to utilize rowversion to implement this check, how to check the rowversion in a procedure, how to force the client program to provide correct rowversion using a trigger, and how the check can be done using Entity Framework.