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Learning PostgreSQL 10

Learning PostgreSQL 10

By : Juba, Volkov
2.3 (6)
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Learning PostgreSQL 10

Learning PostgreSQL 10

2.3 (6)
By: Juba, Volkov

Overview of this book

PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10. We’ll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we’ll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We’ll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects. By the end of this book, you’ll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.
Table of Contents (17 chapters)
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What you need for this book

In general, PostgreSQL server and client tools do not need exceptional hardware. PostgreSQL can be installed on almost all modern platforms, including Linux, Windows, and Mac. Also, in the book, when a certain library is needed, the installation instructions are given.

You need PostgreSQL version 10; however, most of the examples can be executed on earlier versions as well. In order to execute the sample code, scripts, and examples provided in the book, you need to have at least a PostgreSQL client tool installed on your machine—preferably psql—and access to a remote server running the PostgreSQL server.

In a Windows environment, the cmd.exe command prompt is not very convenient; thus, the user might consider using Cygwin (http://www.cygwin.com/) or another alternative, such as PowerShell.

Some chapters might requires additional software. For example, in Chapter 15, Using PostgreSQL in Python application, you need to install Python and the required Python libraries to interact with PostgreSQL. In Chapter 16, Scalability, Docker is used to give the reader a better user experience. 

For other chapters, such as Chapter 09, Beyond Conventional Data types, and Chapter 11, PostgreSQL Security, it is better to use Linux because some of the software used is not very convenient on Windows such as Nginx and GnuPG. To run a Linux distribution on your Windows machine, you can use Virtual Box (https://www.virtualbox.org/).

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