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  • Book Overview & Buying PostgreSQL 16 Administration Cookbook
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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

By : Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
4.8 (25)
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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

4.8 (25)
By: Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs

Overview of this book

PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.
Table of Contents (15 chapters)
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13
Other Books You May Enjoy
14
Index

Finding slow SQL statements

Two main kinds of slowness can manifest themselves in a database.

The first kind is a single query that can be too slow to be really usable, such as a customer information query in a customer relationship management (CRM) system running for minutes, a password check query running in tens of seconds, or a daily data aggregation query running for more than a day. These can be found by logging queries that take over a certain amount of time, either at the client end or in the database.

The second kind is a query that is run frequently (say, a few thousand times a second) and used to run in single-digit milliseconds (ms) but is now running in several tens or even hundreds of milliseconds, hence slowing the system down.

Here, we will show you several ways to find statements that are either slow or cause the database as a whole to slow down (although they are not slow by themselves).

Getting ready

Connect to the database as the user whose...

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PostgreSQL 16 Administration Cookbook
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