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, we learned about some advanced SQL concepts and features, such as CTEs and window functions. These features, for example, allow us to implement a logic that wouldn't be possible otherwise, that is, recursive queries.

The other techniques explained here, such as the DISTINCT ON clause, grouping sets, the FILTER clause, and lateral subqueries, could be replaced by simple structures. However, that would require a lot of coding, and the result would be more complex and would work more slowly.

SQL can be used to implement very complicated logic. However, in difficult cases, queries can become overcomplicated and hard to maintain. Moreover, sometimes, it isn't possible to do certain things in pure SQL. In these cases, you need a procedural language to implement an algorithm. The next chapter will introduce one of them: PL/pgSQL.

...