Book Image

Mastering PostgreSQL 13 - Fourth Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 13 - Fourth Edition

By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease. Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, and user management, to manage and maintain your database. You’ll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to get the most out of your database by executing advanced administrative tasks.
Table of Contents (15 chapters)

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 speedup.

In this section, we will learn 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 'hans' FROM generate_series(1, 100000);

INSERT...