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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

Dealing with deadlocks


Using this recipe, we will be troubleshooting the deadlocks in PostgreSQL.

Getting ready

In any database management systems, deadlocks can occur due to concurrent resource locking. It is the database engines responsibility to detect the deadlocks, and its applications responsibility to prevent the deadlocks. The PostgreSQL engine has the ability to detect the deadlocks; it also provides a few features to the developers to prevent the deadlocks in their application code.

How to do it...

Let's produce a simple deadlock situation and we will see all the options that PostgreSQL provides to troubleshoot them:

Have two different database sessions and execute the SQL statements as follows:

Session 1

Session 2

BEGIN;

UPDATE test SET t=1 WHERE 
  t=1;

UPDATE test SET t=2 WHERE t=2; --Waiting for the record 2 which is locked in   session 2

ERROR:  deadlock detected   
DETAIL:  Process 10417 waits for ShareLock on transaction   452459...
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