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Mastering PostgreSQL 13

You're reading from   Mastering PostgreSQL 13 Build, administer, and maintain database applications efficiently with PostgreSQL 13

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800567498
Length 476 pages
Edition 4th Edition
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Author (1):
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Hans-Jürgen Schönig Hans-Jürgen Schönig
Author Profile Icon Hans-Jürgen Schönig
Hans-Jürgen Schönig
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Table of Contents (15) Chapters Close

Preface 1. PostgreSQL 13 Overview 2. Understanding Transactions and Locking FREE CHAPTER 3. Making Use of Indexes 4. Handling Advanced SQL 5. Log Files and System Statistics 6. Optimizing Queries for Good Performance 7. Writing Stored Procedures 8. Managing PostgreSQL Security 9. Handling Backup and Recovery 10. Making Sense of Backups and Replication 11. Deciding on Useful Extensions 12. Troubleshooting PostgreSQL 13. Migrating to PostgreSQL 14. Other Books You May Enjoy

Learning what the optimizer does

Before even attempting to think about query performance, it makes sense to familiarize yourself with what the query optimizer does. Having a deeper understanding of what is going on under the hood makes a lot of sense because it helps you see what the database is really up to.

A practical example – How the query optimizer handles a sample query

To demonstrate how the optimizer works, I have compiled an example. It is something that I have used over the years for PostgreSQL training. Let's assume that there are three tables, as follows:

CREATE TABLE a (aid int, ...);         -- 100 million rows
CREATE TABLE b (bid int, ...);         -- 200 million rows 
CREATE TABLE c (cid int, ...);         -- 300 million rows 

Let's further assume that those tables contain millions, or maybe hundreds of millions, of rows. In addition to that, there are indexes:

CREATE INDEX idx_a ON a (aid); 
CREATE INDEX idx_b ON b (bid); 
CREATE INDEX idx_c ON c (cid...
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