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

Databases are often used as storage components in complex software solutions. Even if they could implement complex logic in triggers and functions, there is still a necessity for external applications to implement user interfaces. It's quite common to separate storage logic from business logic. In this case, the business logic is also performed in external applications.

In this chapter, you learned how to connect to a PostgreSQL database from applications written in Python. There are several libraries for Python that provide different programming interfaces for developers. Some of them implement the standard Python DB-API and some don't. There are implementations of ORM for Python that work well with PostgreSQL.

The psycopg2, pg8000, and asyncpg low-level libraries were described in this chapter. They make it possible to connect to a database from a Python application...