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

Tracking historical memory usage


In this recipe, we are going to see how to analyze the memory load for a previous day in the week.

Getting ready

The commands used in this recipe have been performed on a CentOS Linux machine. The command output may vary in other Linux and Unix-based operating systems.

How to do it...

When it comes to analyzing memory statistics, we need to check for both paging statistics as well as swapping statistics.

We can use the sar command in conjunction with the -B switch to report on paging statistics, along with the -f switch to report on statistics for different days of the month. As mentioned in the previous recipe, the files that the sar command uses to report statistics for different days of the month are located in the /var/log/sa directory, where the files have a naming convention of sadd, where dd represent the numeric date of the month, and where these values are in the range from 01 to 31.

For instance, to report on the paging statistics for the fifth of the...