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PostgreSQL High Performance Cookbook - Helion

PostgreSQL High Performance Cookbook
ebook
Autor: Chitij Chauhan, Dinesh Kumar
Tytuł oryginału: PostgreSQL High Performance Cookbook
ISBN: 9781785287244
stron: 354, Format: ebook
Data wydania: 2017-03-29
Księgarnia: Helion

Cena książki: 152,10 zł (poprzednio: 169,00 zł)
Oszczędzasz: 10% (-16,90 zł)

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Tagi: Analiza danych | Bazy danych

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

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.

Style and approach

This comprehensive guide is packed with practical administration tasks. Each topic is explained using examples and a step-by-step approach.

Dodaj do koszyka PostgreSQL High Performance Cookbook

 

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Spis treści

PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL eBook -- spis treści

  • 1. Database Benchmarking
  • 2. Server Configuration And Control
  • 3. Device Optimization
  • 4. Monitoring Server Performance
  • 5. Connection Pooling and Database Partitioning
  • 6. High Availability And Replication
  • 7. Working with Third-Party Replication Management Utilities
  • 8. Database Monitoring and Performance
  • 9. Vacuum Internals
  • 10. Data Migration from Other Databases to PostgreSQL and Upgrading PostgreSQL Cluster
  • 11. Query Optimization
  • 12. Database Indexing

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