PostgreSQL High Performance Cookbook
eBook - ePub

PostgreSQL High Performance Cookbook

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

PostgreSQL High Performance Cookbook

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About This Book

Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.About This Book• Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage• Learn ways to improve query performance and optimize the PostgreSQL server• Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databasesWho This Book Is ForIf you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.What You Will Learn• Build replication strategies for homogeneous and heterogeneous databases• Test and build a powerful machine with multiple bench marking techniques• Get to know a few SQL injection techniques• Find out how to manage the replication using multiple tools• Benchmark the database server using multiple strategies• Work with the query processing algorithms and their internal behaviors• Build a proper plan to upgrade or migrate to PostgreSQL from other databases• See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides• Learn memory optimization techniques and database server configurationsIn DetailPostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems.If you run a database, you want it to perform well and you want to be able to secure it. As the world's most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database's performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance.This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you'll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.Style and approachThis comprehensive guide is packed with practical administration tasks. Each topic is explained using examples and a step-by-step approach.

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Information

Year
2017
ISBN
9781785287244

PostgreSQL High Performance Cookbook


PostgreSQL High Performance Cookbook

Copyright © 2017 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: March 2017
Production reference: 1240317
Published by Packt Publishing Ltd.
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ISBN 978-1-78528-433-5
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Credits

Authors
Chitij Chauhan
Dinesh Kumar
Copy Editor
Safis Editing
Reviewers
Baji Shaik
Feng Tan
Project Coordinator
Nidhi Joshi
Commissioning Editor
Dipika Gaonkar
Proofreader
Safis Editing
Acquisition Editor
Nitin Dasan
Indexer
Aishwarya Gangawane
Content Development Editor
Mayur Pawanikar
Production Coordinator
Shraddha Falebhai
Technical Editor
Dinesh Pawar

About the Authors

Chitij Chauhan currently works as a senior database administrator at an IT-based MNC in Chandigarh. He has over 10 years of work experience in the field of database and system administration, with specialization in MySQL clustering, PostgreSQL, Greenplum, Informix DB2, SQL Server 2008, Sybase, and Oracle. He is a leading expert in the area of database security, with expertise in database security products such as IBM InfoSphere Guardium, Oracle Database Vault, and Imperva.
Dinesh Kumar is an enthusiastic open source developer and has written several open source tools for PostgreSQL. He recently announced pgBucket, a brand new job scheduler for PostgreSQL. He is also a frequent blogger at manojadinesh.blogpsot.com, where he talks more about PostgreSQL. He is currently working as a senior database engineer in OpenSCG and building the PostgreSQL cloud operations. He has more than 6 years of experience as an Oracle and PostgreSQL database administrator and developer, and is currently focusing on PostgreSQL.
Thanks to my loving parents, Sreenivasulu and Vanamma, who raised me in a small village called Viruvuru, which is in the Nellore district of India. Thanks to my loving wife, Manoja, who enlightens my life with her wonderful support. Also, thanks to my friend Baji Shaik and coordinators, Mayur Pawanikar and Nitin Dasan, for their excellent support. Finally, thanks to every PostgreSQL contributor, author, and blogger.

About the Reviewers

Baji Shaik is a database administrator and developer. He is a co-author of PostgreSQL Development Essentials and has tech-reviewed Troubleshooting PostgreSQL by Packt Publishing. He is currently working as a database consultant at OpenSCG. He has an engineering degree in telecommunications, and had started his career as a C# and Java developer. Baji started working with databases in 2011, and over the years he has worked with Oracle, PostgreSQL, and Greenplum. His background spans a length and breadth of expertise and experience in SQL/NoSQL database technologies. He has good knowledge of automation, orchestration, and DevOps in a cloud environment. He likes to watch movies, read books, and write technical blogs. He also loves to spend time with family. Baji is a certified PostgreSQL professional.
Feng Tan is from China. His nickname is Francs. He was a PostgreSQL DBA at SkyMobi (NASDAQ: MOBI) for more than 5 years, where he was maintaining more than 100 PostgreSQL instances. He gave presentations at the China PostgreSQL conference on topics such as Oracle VS PostgreSQL and PostgreSQL 9.4 new features.
Feng Tan likes to share PostgreSQL technology in his blog at http://francs3.blog.163.com/. He is also one of the translators of PostgreSQL 9 Administration Cookbook Chinese Edition.
Currently, he serves as the open source database administrator at China Mobile Group Zhejiang Co. Ltd.

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Preface

PostgreSQL is one of the most powerful and easy-to-use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be ...

Table of contents

  1. PostgreSQL High Performance Cookbook