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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

Transaction isolation levels

In a concurrent system, you could encounter three different problems:

  • Dirty reads: A dirty read happens when the database is allowing a transaction to see work-in-progress data from other not-yet-finished transactions. In other words, data that has not been consolidated is visible to other transactions. No production-ready database allows that, and PostgreSQL is no exception: you are assured your transaction will only perceive data that has been consolidated and, in order to be consolidated, the transactions that created such data must be complete.
  • Nonrepeatable reads: An unrepeatable read happens when the same query, within the same transaction, executed multiple times, perceives a different set of data. This essentially means that the data has changed between two sequential executions of the same query in the same transaction. PostgreSQL does not allow this kind of problem by means of snapshots: every transaction can perceive the snapshot of the data available...
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