Book Image

Learning PostgreSQL 10 - Second Edition

Book Image

Learning PostgreSQL 10 - Second Edition

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 (23 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Online analytical processing


A company running such a car portal website could store the HTTP access log in a database table. This can be used to analyze users' activity. For example, to measure the performance of the application, identify the patterns in the users' behavior, or simply to collect statistics about which car models are of the most interest. This data would be inserted into the table and never deleted or changed, or maybe deleted only when it is too old. However, the amount of data would be much bigger than the actual business data in the car portal database, but the data would be accessed only from time to time by internal users for performing analysis and creating reports.

These users are not expected to execute many queries per second, rather the opposite, but those queries will be big and complex, therefore the time that each query can take matters.

Another thing about OLAP databases is that they are not always up to date. As the analysis is performed on a basis of weeks...