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
Other Books You May Enjoy
14
Index

Dealing with large tables with table partitioning

When we say that PostgreSQL supports table partitioning, we mean the division of a table into distinct independent tables. You want to do this because it makes large tables easier to manage, but also for performance reasons.

Postgres has had partitioning since version 8.1, and that was known as inheritance-based partitioning, which was complex and came with some serious limitations. Since version 10, declarative partitioning has become available, which lets you specify a partitioning method, the partitioning key, and the partition boundaries simply by creating tables through DDL.

How to do it…

Let’s create an example partitioned table. We want to partition our large table of transactions by their timestamp:

CREATE TABLE transactions (
tstamp TIMESTAMP WITH TIME ZONE PRIMARY KEY
,amount NUMERIC
)
PARTITION BY RANGE (tstamp);

Great, that’s the base table created; however, it has no partitions...