![]() ![]() This is similar to the Read Committed Isolation Level. All queries will wait until the transaction is completed and the lock is released. In other words, modified data will not be visible within another transaction until it is committed to the database. Here there is a shared lock on the request there is an exclusive lock on data while the other transaction modifies it. This is the default Isolation Level of the SQL Server. In other words, we can read values modified by another transaction before committing to the SQL Server. The request has no shared lock it allows us to read the data being modified by another transaction. There are mainly four types of Isolation Levels available with SQL Server. Isolation Level defines the degree to which one transaction must be isolated from another that changes the data. ![]() ![]() Deadlocks are bad for an application's performance, and it is critical for every software architect and developer to make sure there are no deadlock situations in your code or backend. In this article, we will learn how to prevent deadlocks when using Entity Framework as the DAL of your application.Ī deadlock is a situation when two or more tasks are blocking each other by having a lock on a resource the other is trying to lock. We encountered some queries that created a deadlock or required more time to execute because some other select query created a lock on a table. We found many performance issues with this application. I recently worked with the Entity Framework as a data access layer-based project. ![]()
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