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PostgreSQL High Performance Cookbook

PostgreSQL High Performance Cookbook

By : Chauhan, Dinesh Kumar
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PostgreSQL High Performance Cookbook

PostgreSQL High Performance Cookbook

By: 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 (13 chapters)
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Introduction


Monitoring plays a crucial role in defining the server capacity or defining the health of a database server. Monitoring a database server with a certain interval will give us some useful trend information about the server functionality as per the running business. As business grow continuously, the collected trend information will define the future database server capacity. Server capacity may not be directly proportional to database performance. Since even if we have enough resources, a bug in a database engine's optimizer may drain out all the resources. Also, database performance may not be directly proportional to server capacity, since a kernel bug might cause all the resources to drain out in no time. To identify the underlying problems, monitoring trends information will be more useful. However, in this chapter, we are only covering what to monitor in PostgreSQL to check its behavior in a database server.

PostgreSQL provides a good number of catalog tables, views, and...

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