Book Image

Mastering PostgreSQL 13 - Fourth Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 13 - Fourth Edition

By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease. Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, 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. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage 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 get the most out of your database by executing advanced administrative tasks.
Table of Contents (15 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: using a group 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 text,
year int,
production int,
consumption int
);
CREATE TABLE

The test data can be downloaded from our website...