Book Image

Mastering PostgreSQL 15 - Fifth Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 15 - Fifth Edition

By: Hans-Jürgen Schönig

Overview of this book

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, 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. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing 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 use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (16 chapters)

Checking for memory and I/O

Once we have found missing indexes, we can inspect the memory and I/O. To figure out what is going on, it makes sense to activate track_io_timing. If it is on, PostgreSQL will collect information about the disk wait time and present it to you.

Often, the main question asked by a customer is: if we add more disks, will it be faster? It is possible to guess what will happen, but in general, measuring is the better and more useful strategy. Enabling track_io_timing will help you gather the data to really figure this out.

PostgreSQL exposes the disk wait time in various ways. One way to inspect things is to take a look at pg_stat_database:

test=# \d pg_stat_database
    View "pg_catalog.pg_stat_database"
Column          | Type                     | Modifiers
--------...