Book Image

Learn PostgreSQL

By : Luca Ferrari, Enrico Pirozzi
Book Image

Learn PostgreSQL

By: Luca Ferrari, Enrico Pirozzi

Overview of this book

PostgreSQL is one of the fastest-growing open source object-relational database management systems (DBMS) in the world. As well as being easy to use, it’s scalable and highly efficient. In this book, you’ll explore PostgreSQL 12 and 13 and learn how to build database solutions using it. Complete with hands-on tutorials, this guide will teach you how to achieve the right database design required for a reliable environment. You'll learn how to install and configure a PostgreSQL server and even manage users and connections. The book then progresses to key concepts of relational databases, before taking you through the Data Definition Language (DDL) and commonly used DDL commands. To build on your skills, you’ll understand how to interact with the live cluster, create database objects, and use tools to connect to the live cluster. You’ll then get to grips with creating tables, building indexes, and designing your database schema. Later, you'll explore the Data Manipulation Language (DML) and server-side programming capabilities of PostgreSQL using PL/pgSQL, before learning how to monitor, test, and troubleshoot your database application to ensure high-performance and reliability. By the end of this book, you'll be well-versed with the Postgres database and be able to set up your own PostgreSQL instance and use it to build robust solutions.
Table of Contents (27 chapters)
Section 1: Getting Started
Section 2: Interacting with the Database
Section 3: Administering the Cluster
Section 4: Replication
Section 5: The PostegreSQL Ecosystem

Exploring PostgreSQL terminology

A PostgreSQL instance is called a cluster because a single instance can serve and handle multiple databases. Every database is an isolated space where users and applications can store data.

A database is accessed by allowed users, but users connected to a database cannot cross the database boundaries and interact with data contained in another database, unless they explicitly connect to the latter database too.

A database can be organized into namespaces, called schemas. A schema is a mnemonic name that the user can assign to organize database objects, such as tables, into a more structured collection. Schemas cannot be nested, so they represent a flat namespace.

Database objects are represented by everything the user can create and manage within the database—for instance, tables, functions, triggers, and data types. Every object belongs to one and only one schema that, if not specified, is the default public schema.

Users are defined at a cluster...