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Mastering PostgreSQL 15

You're reading from   Mastering PostgreSQL 15 Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803248349
Length 522 pages
Edition 5th Edition
Languages
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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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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: PostgreSQL 15 Overview 2. Chapter 2: Understanding Transactions and Locking FREE CHAPTER 3. Chapter 3: Making Use of Indexes 4. Chapter 4: Handling Advanced SQL 5. Chapter 5: Log Files and System Statistics 6. Chapter 6: Optimizing Queries for Good Performance 7. Chapter 7: Writing Stored Procedures 8. Chapter 8: Managing PostgreSQL Security 9. Chapter 9: Handling Backup and Recovery 10. Chapter 10: Making Sense of Backups and Replication 11. Chapter 11: Deciding on Useful Extensions 12. Chapter 12: Troubleshooting PostgreSQL 13. Chapter 13: Migrating to PostgreSQL 14. Index 15. Other Books You May Enjoy

Adjusting parameters for good query performance

Writing good queries is the first step to achieving good performance. Without a good query, you will most likely suffer from bad performance. Therefore, writing good and intelligent code will give you the greatest edge possible. Once your queries have been optimized from a logical and semantic point of view, good memory settings can provide you with a nice final increase in speed.

In this section, we will learn about what more memory can do for you and how PostgreSQL can use it for your benefit. Again, this section assumes that we are using single-core queries to make the plans more readable. To ensure that there is always just one core at work, use the following command:

test=# SET max_parallel_workers_per_gather TO 0;
SET

Here is a simple example demonstrating what memory parameters can do for you:

test=# CREATE TABLE t_test (id serial, name text);
CREATE TABLE
test=# INSERT INTO t_test (name)
   SELECT &apos...
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