Lesson 57/100

Tutorials SQL Server Tutorial

Deadlocks — Complete Guide

Deadlocks — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of SQL Server Tutorial on Toolliyo Academy.

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SQL Server Tutorial · Lesson 57 of 100

Deadlocks

SQL basics ✓QueriesAdvanced

Queries · 2 — JOINs · ~10 min · SQL — Transactions & Concurrency

What is this?

A deadlock is a cycle: session A waits on B and B waits on A. SQL Server picks a victim and fails its batch with error 1205.

Why should you care?

Concurrent transfers that lock accounts in opposite order deadlock under load.

See it live — copy this example

Run in SQL Server Management Studio (SSMS) or Azure Data Studio.

-- Classic deadlock pattern (two windows)
-- A: BEGIN TRAN; UPDATE Accounts SET Balance=Balance WHERE AccountId=1;
-- B: BEGIN TRAN; UPDATE Accounts SET Balance=Balance WHERE AccountId=2;
-- A: UPDATE Accounts SET Balance=Balance WHERE AccountId=2; -- waits
-- B: UPDATE Accounts SET Balance=Balance WHERE AccountId=1; -- deadlock

SELECT * FROM sys.dm_exec_session_wait_stats
WHERE session_id = @@SPID; -- after tests, look for LCK waits

What happened?

  • Comments show the cycle.
  • One session becomes the victim.
  • Capture deadlock graphs with Extended Events for real incidents.

Practice next

  1. Reproduce carefully in lab with two windows.
  2. Note error 1205 on the victim.
  3. Retry logic belongs in the app/proc.
  4. Always lock AccountId in ascending order in both procs.
  5. Reduce transaction scope to fewer statements.

Remember

Deadlock = circular lock wait. Engine kills a victim. Capture graphs; fix ordering.

Transfer deadlocks at noon

DataVerse transfers locked accounts inconsistently.

Outcome: Ordered locking cut deadlocks near zero.

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SQL Server Tutorial
Course syllabus

SQL Server Tutorial

SQL — Foundations
SQL — SQL Queries & Clauses
SQL — Joins & Relationships
SQL — Indexing & Performance
SQL — Stored Procedures & Functions
SQL — Transactions & Concurrency
SQL — Advanced SQL Server
SQL — Security & High Availability
SQL — 2022 & Cloud
SQL — Real-World Projects
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