9781788474481-1788474481-PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability, and efficient database maintenance

PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability, and efficient database maintenance

ISBN-13: 9781788474481
ISBN-10: 1788474481
Edition: 3rd ed.
Author: Gregory Smith, Enrico Pirozzi, Ibrar Ahmed
Publication date: 2018
Publisher: Packt Publishing
Format: Paperback 508 pages
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Book details

ISBN-13: 9781788474481
ISBN-10: 1788474481
Edition: 3rd ed.
Author: Gregory Smith, Enrico Pirozzi, Ibrar Ahmed
Publication date: 2018
Publisher: Packt Publishing
Format: Paperback 508 pages

Summary

PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability, and efficient database maintenance (ISBN-13: 9781788474481 and ISBN-10: 1788474481), written by authors Gregory Smith, Enrico Pirozzi, Ibrar Ahmed, was published by Packt Publishing in 2018. With an overall rating of 3.7 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data) books. You can easily purchase or rent PostgreSQL 10 High Performance - Third Edition: Expert techniques for query optimization, high availability, and efficient database maintenance (Paperback) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Leverage the power of PostgreSQL 10 to design, administer and maintain a high-performance database solution

Key Features
  • Obtain optimal PostgreSQL 10 database performance, ranging from initial design to routine maintenance
  • Fine tune the performance of your queries and avoid the common pitfalls that can slow your system down
  • Contains tips and tricks on scaling successful database installations, and ensuring a highly available PostgreSQL solution
Book Description

PostgreSQL database servers have a common set of problems that they encounter as their usage gets heavier and requirements get more demanding. Peek into the future of your PostgreSQL 10 database's problems today. Know the warning signs to look for and how to avoid the most common issues before they even happen.

Surprisingly, most PostgreSQL database applications evolve in the same way-choose the right hardware, tune the operating system and server memory use, optimize queries against the database and CPUs with the right indexes, and monitor every layer, from hardware to queries, using tools from inside and outside PostgreSQL. Also, using monitoring insight, PostgreSQL database applications continuously rework the design and configuration. On reaching the limits of a single server, they break things up; connection pooling, caching, partitioning, replication, and parallel queries can all help handle increasing database workloads.

By the end of this book, you will have all the knowledge you need to design, run, and manage your PostgreSQL solution while ensuring high performance and high availability

What you will learn
  • Learn best practices for scaling PostgreSQL 10 installations
  • Discover the best hardware for developing high-performance PostgreSQL applications
  • Benchmark your whole system – from hardware to application
  • Learn by real examples how server parameters impact performance
  • Discover PostgreSQL 10 features for partitioning and parallel query
  • Monitor your server, both inside and outside the database
  • Design and implement a good replication system on PostgreSQL 10
Who This Book Is For

This book is designed for database administrators and PostgreSQL architects who already use or plan to exploit the features of PostgreSQL 10 to design and maintain a high-performance PostgreSQL database. A working knowledge of SQL, and some experience with PostgreSQL will be helpful in getting the most out of this book.

Table of Contents
  1. PostgreSQL Versions
  2. Database Hardware
  3. Database Hardware Benchmarking
  4. Disk Setup
  5. Memory for Database Caching
  6. Server Configuration Tuning
  7. Routine Maintenance
  8. Database Benchmarking
  9. Database Indexing
  10. Query Optimization
  11. Database Activity and Statistics
  12. Monitoring and Trending
  13. Pooling and Caching
  14. Scaling with Replication
  15. Partitioning Data
  16. Scaling with Replication
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