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)

Introducing grouping sets

Every advanced user of SQL should be familiar with the GROUP BY and HAVING clauses. But are they also aware of CUBE, ROLLUP, and GROUPING SETS? If not, this chapter is a must-read. What is the basic idea behind a grouping set? Basically, the concept is simple: by using a grouping set, you can combine various aggregations into a single query. The main advantage is that you have to read data only once while producing many different aggregation sets at once.

Loading some sample data

To make this chapter a pleasant experience for you, we will compile some sample data that has been taken from the BP energy report, which can be found at http://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy/downloads.html.

Here is the data structure that will be used:

test=# CREATE TABLE t_oil (
    region       text,
    country     ...