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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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Setting up walctl


walctl is basically a WAL management system that either pushes or fetches WAL files from a remote central server. It is a substitute for archive_command or restore_command in handling WAL archival or recovery.

walctl also includes a utility to clone a primary server and create a replica.

How to do it...

For this recipe we are going to use three servers. The remote server that will handle archival is called pg-arc. The primary server will be named pg-primary and the standby server will be named pg-clone. Our assumption is that the data directory will be located at /data location and the same can be defined in the $PGDATA environment variable.

Here are the steps for this recipe:

  1. On the primary server and standby run the following commands:

            git clone https://github.com/OptionsHouse/walctl 
            cd walctl 
            sudo make install  
    
    
  2. On the archival server pg-arc create the wal storage directory:

            sudo mkdir -m 0600 /db/wal_archive sudo chown postgres...
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PostgreSQL High Performance Cookbook
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