Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov
Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)

Beyond Conventional Data Types

PostgreSQL can handle rich data types due to its powerful extensions. Data that doesn't fit the relational model inherently, such as semi-structured data, can be stored and manipulated, either using out-of-the-box data types or extensions. Also, the PostgreSQL community focuses not only on enhancing relational database features, but also on supporting rich data types, such as arrays, XMLs, hash stores, and JSON documents. The focus shift is a result of embracing changes in the software development process's life cycle, such as agile development methods, and supporting unknown and rapid software requirements.

Non-conventional data types allow PostgreSQL to store different data types, such as geographical, binary, and schemaless data, such as JSON documents and hash stores. PostgreSQL supports some of these data types out of the box, including...