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Learn PostgreSQL

You're reading from   Learn PostgreSQL Build and manage high-performance database solutions using PostgreSQL 12 and 13

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Length 650 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL FREE CHAPTER 3. Getting to Know Your Cluster 4. Managing Users and Connections 5. Section 2: Interacting with the Database
6. Basic Statements 7. Advanced Statements 8. Window Functions 9. Server-Side Programming 10. Triggers and Rules 11. Partitioning 12. Section 3: Administering the Cluster
13. Users, Roles, and Database Security 14. Transactions, MVCC, WALs, and Checkpoints 15. Extending the Database - the Extension Ecosystem 16. Indexes and Performance Optimization 17. Logging and Auditing 18. Backup and Restore 19. Configuration and Monitoring 20. Section 4: Replication
21. Physical Replication 22. Logical Replication 23. Section 5: The PostegreSQL Ecosystem
24. Useful Tools and Extensions 25. Toward PostgreSQL 13 26. Other Books You May Enjoy

Deadlocks

A deadlock is an event that happens when different transactions depend on each other in a circular way. Deadlocks are, to some extent, normal events in a concurrent database environment and nothing an administrator should worry about, unless they become extremely frequent, meaning there is some dependency error in the applications and the transactions.

When a deadlock happens, there is no choice but to terminate the locked transactions. PostgreSQL has a very powerful deadlock detection engine that does exactly this job: it finds stalled transactions and, in the case of a deadlock, terminates them (producing ROLLBACK).

In order to produce a deadlock, imagine two concurrent transactions applying changes to the very same tuples in a conflicting way. For example, the first transaction could do something like the following:

-- session 1
forumdb=> BEGIN;
BEGIN
forumdb=> SELECT txid_current();
txid_current
--------------
4875
(1 row)

forumdb=> UPDATE tags SET tag = &apos...
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