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)

OLTP and OLAP

When a database works as a backend for an application, it implements an OLTP solution. This means that the database is supposed to perform a lot of small transactions on a regular basis. The car portal database we used as an example in previous chapters is an example of a typical OLTP data structure. The application working with this database executes a transaction each time a user does something: creates an account, modifies the password, enters a car into the system, creates or changes an advertisement, and so on. Each of these actions causes a transaction in the database that would create, change or delete a row/couple of rows in one or more tables. The more users work with the system, the more often the transactions are performed. The database should be able to handle the load, and its performance is measured by the number of transactions per second it can handle...