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Learn PostgreSQL

You're reading from  Learn PostgreSQL

Product type Book
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Pages 650 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Luca Ferrari Luca Ferrari
Profile icon Luca Ferrari
Enrico Pirozzi Enrico Pirozzi
Profile icon Enrico Pirozzi
View More author details

Table of Contents (27) Chapters

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL 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

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 petabytes.

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

We also need to know that there is a part of our server's RAM memory shared among all the Postgres processes that is used to manage the data that is 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 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 server only for PostgreSQL...

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