Book Image

Mastering PostgreSQL 9.6

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 9.6

By: Hans-Jürgen Schönig

Overview of this book

PostgreSQL is an open source database used for handling large datasets (Big Data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently. We begin by explaining the advanced database design concepts in PostgreSQL 9.6, along with indexing and query optimization. You will also see how to work with event triggers and perform concurrent transactions and table partitioning, along with exploring SQL and server tuning. We will walk you through implementing advanced administrative tasks such as server maintenance and monitoring, replication, recovery and high availability, and much more. You will understand the common and not-so-common troubleshooting problems and how you can overcome them. By the end of this book, you will have an expert-level command of the advanced database functionalities and will be able to implement advanced administrative tasks with PostgreSQL.
Table of Contents (14 chapters)
Free Chapter
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 database systems to PostgreSQL is fairly easy. The reason for that is that Oracle might be expensive and Oracle might be 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 datatypes are properly handled. In general, you 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 from commercial databases are not true in MySQL. NOT NULL does not mean much to MySQL (unless you explicitly use strict mode). In Oracle, Informix, DB2, and all other systems I...