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PostgreSQL High Performance Cookbook

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  • 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 configurations

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.

  • 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 databases
Page Count 360
Course Length 10 hours 48 minutes
Date Of Publication 28 Mar 2017


Chitij Chauhan

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

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.