Book Image

Mastering PostgreSQL 11 - Second Edition

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 11 - Second Edition

By: Hans-Jürgen Schönig

Overview of this book

This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease. This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You’ll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you’ll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases. By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (15 chapters)
Free Chapter
1
PostgreSQL Overview

Moving from MySQL or MariaDB to PostgreSQL

In this chapter, you have already learned some valuable lessons about how to move from databases such as Oracle to PostgreSQL. Migrating both MySQL and MariaDB database systems to PostgreSQL is fairly easy. The reason for this is that Oracle might be expensive and a bit cumbersome from time to time. The same applies to Informix. However, both Informix and Oracle have one important thing in common: CHECK constraints are honored properly and data types are properly handled. In general, we can safely assume that the data in those commercial systems is somewhat correct and doesn't violate the most basic rules of data integrity and common sense.

Our next candidate is different. Many things you know about commercial databases are not true in MySQL. The term NOT NULL doesn't mean much to MySQL (unless you explicitly use strict mode...