Book Image

PostgreSQL 14 Administration Cookbook

By : Simon Riggs, Gianni Ciolli
Book Image

PostgreSQL 14 Administration Cookbook

By: Simon Riggs, Gianni Ciolli

Overview of this book

PostgreSQL is a powerful, open-source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 14 allows you to scale up your PostgreSQL infrastructure. With this book, you'll take a step-by-step, recipe-based approach to effective PostgreSQL administration. This book will get you up and running with all the latest features of PostgreSQL 14 while helping you explore the entire database ecosystem. You’ll learn how to tackle a variety of problems and pain points you may face as a database administrator such as creating tables, managing views, improving performance, and securing your database. As you make progress, the book will draw attention to important topics such as monitoring roles, validating backups, regular maintenance, and recovery of your PostgreSQL 14 database. This will help you understand roles, ensuring high availability, concurrency, and replication. Along with updated recipes, this book touches upon important areas like using generated columns, TOAST compression, PostgreSQL on the cloud, and much more. By the end of this PostgreSQL book, you’ll have gained the knowledge you need to manage your PostgreSQL 14 database efficiently, both in the cloud and on-premise.
Table of Contents (14 chapters)

Speeding up queries without rewriting them

Often, you either can't or don't want to rewrite a query. However, you can still try and speed it up through any of the techniques we will discuss here.

How to do it…

By now, we assume that you've looked at various problems already, so the following are more advanced ideas for you to try.

Increasing work_mem

For queries involving large sorts or for join queries, it may be useful to increase the amount of working memory that can be used for query execution. Try setting the following:

SET work_mem = '1TB';

Then, run EXPLAIN (not EXPLAIN ANALYZE). If EXPLAIN changes for the query, then it may benefit from more memory. I'm guessing that you don't have access to 1 terabyte (TB) of RAM; the previous setting was only used to prove that the query plan is dependent on available memory....