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Learn PostgreSQL

You're reading from   Learn PostgreSQL Use, manage, and build secure and scalable databases with PostgreSQL 16

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837635641
Length 744 pages
Edition 2nd Edition
Languages
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Authors (2):
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Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
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Toc

Table of Contents (22) Chapters Close

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

How PostgreSQL handles persistency and consistency: WALs

In the previous sections, you have seen how to interact with transactions and, most notably, how PostgreSQL executes every statement within a transaction, either explicitly or implicitly.

PostgreSQL does, internally, very complex work to ensure that consolidated data in storage reflects the status of the committed transactions. In other words, data can be considered consolidated only if the transaction that produced (or modified) it has been successfully committed. But this also means that, once a transaction has been successfully committed, its data is “safe” on storage, no matter what happens in the future: if a transaction is reported to be successful, its data must be made persistent, even if the database or the whole system crashes.

PostgreSQL manages transactions and data consolidations by means of WALs. This section introduces you to the concept of WALs and their use within PostgreSQL.

WALs

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