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)

Understanding execution plans

Now that we've dug into some important optimizations that are implemented in PostgreSQL, let's proceed to take a closer look at execution plans. You have already seen some execution plans in this book. However, in order to make full use of plans, it is important to develop a systematic approach when it comes to reading this information.

Approaching plans systematically

The first thing you have to know is that an EXPLAIN clause can do quite a lot for you, and I highly recommend making full use of these features.

As many of you may already know, an EXPLAIN ANALYZE clause will execute the query and return the plan, including real runtime information. Here is an example:

test=# EXPLAIN ANALYZE SELECT * 
FROM
(
SELECT *
FROM b
LIMIT 1000000
) AS b
ORDER BY cos(bid);
QUERY PLAN
------------------------------------------------------------------------------------------
Sort (cost=146173.34..148673.34 rows...