How to handle deadlocks in SQL Server?
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How to handle deadlocks in SQL Server?
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Cynthia SathuragiriPosted Aug 19, 2025, 4:35 AM
To handle deadlocks in SQL Server:
Use
TRY...CATCHwith retries.Keep transactions small and consistent.
Access tables in the same order.
Tune queries and indexing.
Vijay BansodePosted Aug 14, 2025, 7:12 AM
In SQL Server, a deadlock happens when two or more sessions block each other, each waiting for a resource the other holds. SQL Server automatically detects deadlocks and kills one process (the deadlock victim) to break the cycle, but you still need to prevent or minimize them.
Here’s how you can handle and prevent deadlocks:
1. Understand and Identify Deadlocks
Enable Trace Flags (e.g.,
DBCC TRACEON(1222, -1)) or use Extended Events to capture deadlock graphs.SQL Server Profiler can also capture deadlock events.
Look at the deadlock graph to understand which resources and queries are involved.
2. Prevention Strategies
A. Access Objects in the Same Order
If multiple transactions must access the same set of tables, ensure they do so in the same sequence across the application.
B. Keep Transactions Short
The longer a transaction holds locks, the higher the deadlock risk.
Avoid user input mid-transaction.
Commit as soon as possible.
C. Reduce Lock Contention
Use appropriate isolation levels:
READ COMMITTED SNAPSHOT(RCSI) reduces locking by using row versioning.Avoid
SERIALIZABLEunless necessary.Use NOLOCK (read uncommitted) carefully for non-critical reads.
D. Optimize Queries and Indexes
Ensure good indexing to avoid long table scans that lock many rows/pages.
Rewrite queries to touch fewer rows.
E. Break Large Batches
Process data in smaller chunks instead of one massive transaction.
3. Handling Deadlocks in Code
Even with prevention, you can’t eliminate all deadlocks — you must retry the transaction.
Example in T-SQL:
In application code (C#, Java, etc.), catch the SQL error 1205 and retry after a short delay.
4. Monitoring & Continuous Improvement
Regularly review deadlock reports.
Look for patterns (e.g., same two tables or queries).
Tune problematic queries and transactions.