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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

Basic concepts

First of all, let’s try to understand why we have to partition data. We should start by saying that a common constant of all databases is that their size always grows. It is, therefore, possible that a database, after a few months of growth, can reach a size of gigabytes, terabytes, or even petabytes.

Another thing we must always keep in mind is that not all tables grow at the same rate or to the same level; some tables are bigger than others and some indexes too are bigger than other indexes.

We also need to know that there is a part of our server’s RAM, shared among all the PostgreSQL processes, that is used to manage the data present in tables. This part of the server’s RAM is called shared_buffers.

The way PostgreSQL works is as follows:

  1. Data is taken from hard disks.
  2. Data is placed in shared buffers.
  3. Data is processed in shared buffers.
  4. Data is downloaded to disks.

Typically, in a dedicated...

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