Book Image

PostgreSQL 16 Administration Cookbook

By : Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
5 (1)
Book Image

PostgreSQL 16 Administration Cookbook

5 (1)
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)
13
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14
Index

Auditing database access

Auditing database access is a much bigger topic than you might expect because it can cover a whole range of requirements.

Getting ready

First, decide which of these you want and look at the appropriate subsection:

  • Which privileges can be executed? (Auditing access)
  • Which SQL statements were executed? (Auditing SQL)
  • Which tables were accessed? (Auditing table access)
  • Which data rows were changed? (Auditing data changes)
  • Which data rows were viewed? (Not described here—usually too much data)

Auditing just SQL produces the lowest volume of audit log information, especially if you choose to log only Data Definition Language (DDL). Higher levels accumulate more information very rapidly, so you may quickly decide not to do this in practice. Read each section to understand the benefits and trade-offs.

Auditing access

Reviewing which users have access to which information is important. There are a...