PostgreSQL High Performance Cookbook
Language: English
Published by Packt Publishing Limited, GB, 2023
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.About This Book. 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 databasesWho This Book Is ForIf you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.What You Will Learn. 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 configurationsIn DetailPostgreSQL 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.Style and approachThis comprehensive guide is packed with practical administration tasks. Each topic is explained using examples and a step-by.…
Seller Inventory # LU-9781785284335
- Title
- PostgreSQL High Performance Cookbook
- Author
- Chitij Chauhan, Dinesh Kumar
- Publisher
- Packt Publishing Limited, GB
- Publication year
- 2023
- Condition
- New
- Binding
- Digital
- Language
- English
- ISBN 10
- 1785284339
- ISBN 13
- 9781785284335
Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.
About This Book
- 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
Who This Book Is For
If you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.
What You Will Learn
- 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
In Detail
"Synopsis" may belong to another edition of this title.
About the Author
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 (manojadinesh.blogpsot.com), where he talks more about PostgreSQL. He is currently working as Senior Database Engineer in OpenSCG and building the PostgreSQL cloud operations. He has 6+ years of experience as an Oralce, PostgreSQL database administrator and developer, and is currently focused on PostgreSQL.
Thanks to my loving parents, Sreenivasulu & Vanamma who raised me from a small village called Viruvuru, which is in the Nellore district of India. Thanks to my loving wife, Manoja, who enlightens my life with her wonderful support. Also, thanks to my friend Baji Shaik and coordinators Mayur Pawanikar and Nitin Dasan for their excellent support. Finally, thanks to every PostgreSQL contributor, author, and blogger.
"About the title" may belong to another edition of this title.
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