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

Reducing the number of rows returned

Although the problem often produces too many rows in the first place, it is made worse by returning all unnecessary rows to the client. This is especially true if the client and server are not on the same host.

Here are some ways to reduce the traffic between the client and server.

How to do it…

Consider the following scenario: a full-text search returns 10,000 documents, but only the first 20 are displayed to users. In this case, order the documents by rank on the server, and return only the top 20 that actually need to be displayed:

SELECT title, ts_rank_cd(body_tsv, query, 20) AS text_rank
FROM articles, plainto_tsquery('spicy potatoes') AS query
WHERE body_tsv @@ query
ORDER BY rank DESC
LIMIT 20
;

The ORDER BY clause ensures the rows are ranked, and then the LIMIT 20 returns only the top 20.

If you need the next 20 documents, don’t just query with a limit of 40 and throw away the first 20. Instead...