PostgreSQL 9.0: High Performance

Packt Publishing Ltd
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Accelerate your PostgreSQL system. Improving database performance requires an equal mix of understanding theoretical concepts and working through hands-on examples. You'll find both here. Many of the examples given will be immediately useful for monitoring and improving your PostgreSQL deployments, providing insight into hard-to-obtain information about your database. This book is aimed at intermediate to advanced database administrators using or planning to use PostgreSQL. Portions will also interest systems administrators looking to build or monitor a PostgreSQL installation, as well as developers interested in advanced database internals that impact application design.
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Additional Information

Publisher
Packt Publishing Ltd
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Published on
Oct 20, 2010
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Pages
442
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ISBN
9781849510318
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Language
English
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Genres
Computers / General
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Content Protection
This content is DRM free.
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Enhance the performance of your PostgreSQL system with this handy guide while avoiding common pitfalls that can slow it down.About This BookLearn the right techniques to obtain optimal PostgreSQL database performance, ranging from initial design to routine maintenanceFine tune the performance of your queries and avoid the common pitfalls that can slow your system downContains tips and tricks on scaling successful database installations, and ensuring a highly available PostgreSQL solutionWho This Book Is For

This book is for intermediate to advanced database administrators and developers who use or plan to exploit the features of PostgreSQL in the best possible manner. While administrators can benefit from the topics related to the installation, configuration, and optimization of the server, developers will learn how to write optimal queries and address performance issues in their database design. This book will also benefit the PostgreSQL internal architects in being able to monitor the performance using benchmarking tools.

What You Will LearnLearn the best practices to configure your PostgreSQL 9.6 database for optimal performanceWrite optimal queries and techniques to detect performance issue in queriesFine tune the performance of your queries using benchmarking and indexing techniquesEnsure high performance and a highly available database using the scaling and replication techniquesDiscover how to make informed speed and reliability trade-offsHandle increasing database workloads without any hassleUse monitoring insights to continuously rework the design and configuration for best performanceIn Detail

Database administrators and developers spend years learning techniques to configure their PostgreSQL database servers for optimal performance, mostly when they encounter performance issues. Scalability and high availability of the database solution is equally important these days. This book will show you how to configure new database installations and optimize existing database server installations using PostgreSQL 9.6.

You will start with the basic concepts of database performance, because all successful database applications are destined to eventually run into issues when scaling up their performance. You will not only learn to optimize your database and queries for optimal performance, but also detect the real performance bottlenecks using PostgreSQL tools and some external tools. Next, you will learn how to benchmark your hardware and tune your operating system. Optimize your queries against the database with the help of right indexes, and monitor every layer, ranging from hardware to queries. Moving on, you will see how connection pooling, caching, partitioning, and replication will help you handle increasing database workloads.

Achieving high database performance is not easy, but you can learn it by using the right guide—PostgreSQL 9.6 High Performance.

Style and approach

This book has been organized in such a manner that will help you understand basic PostgreSQL 9.6 performance tuning to advanced-level configuration. There are many real-world problems explained in this book and explained in clear language, because improving database performance requires an equal mix of understanding theoretical concepts and working through hands-on examples.

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