Book Image

Mastering PostgreSQL 12 - Third Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 12 - Third Edition

By: Hans-Jürgen Schönig

Overview of this book

Thanks to its reliability, robustness, and high performance, PostgreSQL has become the most advanced open source database on the market. This third edition of Mastering PostgreSQL helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both physical and technical aspects of system architecture with ease. Starting with an introduction to the newly released features in PostgreSQL 12, this book will help you build efficient and fault-tolerant PostgreSQL applications. You’ll thoroughly examine the advanced features of PostgreSQL, including logical replication, database clusters, performance tuning, monitoring, and user management. You’ll also work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and understand how to move from Oracle to PostgreSQL. As you progress through the chapters, you’ll cover transactions, locking, indexes, and how to optimize queries for improved performance. Additionally, you’ll learn how to manage network security and explore backups and replications while understanding useful PostgreSQL extensions to help you in optimizing 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 implementing advanced administrative tasks effortlessly.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Basic Overview
4
Section 2: Advanced Concepts

Migrating SQL statements to PostgreSQL

When moving from a database to PostgreSQL, it makes sense to take a look and figure out which database engine provides which kind of functionality. Moving the data and the structure itself is usually fairly easy. However, rewriting SQL might not be. Therefore, I decided to include a section that explicitly focuses on various advanced features of SQL and their availability in today's database engines.

Using lateral joins

In SQL, a lateral join can basically be seen as some sort of loop. This allows us to parameterize a join and execute everything inside the LATERAL clause more than once. Here is a simple example of this:

test=# SELECT * 
FROM generate_series(1, 4) AS x,
...