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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

Summary

PostgreSQL exploits MVCC to enable high concurrent access to the underlying data, and this means that every transaction perceives a snapshot of the data while the system keeps different versions of the same tuples. Sooner or later, invalid tuples will be removed and the storage space will be reclaimed. On one hand, MVCC provides better concurrency, but on the other hand, it requires extra effort to reclaim the storage space once transactions no longer reference dead tuples. PostgreSQL provides VACUUM with this aim and also has a background process named autovacuum to periodically and non-invasively reclaim storage space and keep the system clean and healthy.

In order to improve I/O and reliability, PostgreSQL stores data in a journal written sequentially, the WAL. The WAL is split into segments, and at particular time intervals, named checkpoints, all the dirty data in memory is forced to a specified position in the storage and WAL segments are recycled.

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