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)

Summary

In this chapter, indexes, views, functions, user-defined data types, and rule and trigger systems were discussed. A view is a named query or a wrapper around a SELECT statement. They can be used as a data access layer, provide an abstraction level, and control data privileges and permissions. A view in PostgreSQL can be categorized as temporary, materialized, updatable, or recursive. Simple views in PostgreSQL are automatically updatable. To make complex views updatable, you can use the rule and trigger systems.

Indexes are physical database objects defined in a table column, a set of columns, and expressions. Indexes are often used to optimize performance or to validate data. There are several techniques for building indexes, including B-tree, hash, GIN, GIST, and BRIN. B-tree is the default indexing method. GIN and GIST are useful for indexing complex data types and...