Book Image

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
Book Image

PostgreSQL High Performance Cookbook

By: Chitij Chauhan, Dinesh Kumar

Overview of this book

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 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.
Table of Contents (19 chapters)
PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Timing overhead


In this recipe, we will be discussing overhead of system timing calls.

Getting ready

In general, operating systems maintain a set of clock sources that monotonically increase the time value. When we execute any time-related commands such as date, then the operation system reads the date time value from the underlying hardware clock and then returns the output in human readable format. The clock sources are designed as it should maintain its consistency throughout all of its system time calls. In any case, the clock source should not give us any time value that is in the past. That is, the clock time should be an atomically incremental value. If the clock source loses its consistency due to a bad hardware time keeper, then we also lose the system stability.

While running the EXPLAIN ANALYZE command, PostgreSQL needs to run multiple system time calls, which keep tracking each node type start and end execution time. When the system loses its consistency in keeping its time value...