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Home 2016 April SQL Server: What happens after the Deadlock arise?

SQL Server: What happens after the Deadlock arise?

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When two sessions are blocked by each other and waiting for a resource which is locked, Deadlock arises in the Database System.

Internally, SQL Server detects those two sessions and makes one as a Deadlock victim.

After that, it rolls back the victim session and returns the deadlock error message to the client.
It releases all other locks held by that session and allows other sessions for the further process.

SQL Server is choosing a victim session mainly based on the two factors.
The one is a deadlock or session priority, and another is how that session rolls back fast.

You can also define a Deadlock priority using below T-SQL:

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-- Syntax:
SET DEADLOCK_PRIORITY { LOW | NORMAL | HIGH | | @deadlock_var | @deadlock_intvar }
-- Example
SET DEADLOCK_PRIORITY LOW;
GO

If the session has lowest deadlock priority, first it is chosen as a Deadlock victim.

You can also find sessionID or processID of the blocked or deadlocked transaction.
After that, you can also manually KILL that session by executing KILL [SPID].

Apr 10, 2016Anvesh Patel
SQL Server: 8 different ways to Detect a DeadLock in a DatabaseDatabase Design: The Ultimate Strategies to avoid Deadlock
Anvesh Patel
Anvesh Patel

Database Engineer

April 10, 2016 SQL ServerAnvesh Patel, database, database research and development, dbrnd, DeadLock, DEADLOCK_PRIORITY, SQL Query, SQL Server, SQL Server Administrator, SQL Server Monitoring, SQL Server Performance Tunning, SQL Server Tips and Tricks, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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