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【独家发布】PostgreSQL 9.6 High Performance

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PostgreSQL9.6HighPerformance2017年7月25日G117views发表评论阅读评论https://images-na.ssl-images-amazon.com/images/I/51qrv87gB1L._SL160_.jpgPostgreSQL9.6HighPerformanceAuthors:IbrarAhmed–GregorySmithIS ...

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PostgreSQL 9.6 High Performance2017年7月25日G117 views发表评论阅读评论
https://images-na.ssl-images-amazon.com/images/I/51qrv87gB1L._SL160_.jpg

PostgreSQL 9.6 High Performance
Authors: Ibrar Ahmed – Gregory Smith
ISBN-10 书号: 1784392979
ISBN-13 书号: 9781784392970
Edition: 2nd Revised edition
Release 出版日期: 2017-05-31
pages 页数: (508)
49.99
Book Description
Enhance the performance of your PostgreSQL system with this handy guide while avoiding common pitfalls that can slow it down.
About This Book
Learn the right techniques to obtain optimal PostgreSQL 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
Who 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 Learn
Learn the best practices to configure your PostgreSQL 9.6 database for optimal performance
Write optimal queries and techniques to detect performance issue in queries
Fine tune the performance of your queries using benchmarking and indexing techniques
Ensure high performance and a highly available database using the scaling and replication techniques
Discover how to make informed speed and reliability trade-offs
Handle increasing database workloads without any hassle
Use monitoring insights to continuously rework the design and configuration for best performance
In 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.
Contents
Chapter 1: PostgreSQL Versions
Chapter 2: Database Hardware
Chapter 3: Database Hardware Benchmarking
Chapter 4: Disk Setup
Chapter 5: Memory for Database Caching
Chapter 6: Server Configuration Tuning
Chapter 7: Routine Maintenance
Chapter 8: Database Benchmarking
Chapter 9: Database Indexing
Chapter 10: Query Optimization
Chapter 11: Database Activity and Statistics
Chapter 12: Monitoring and Trending
Chapter 13: Pooling and Caching
Chapter 14: Scaling with Replication
Chapter 15: Partitioning Data
Chapter 16 : Database Profiling
Chapter 17: Avoiding Common Problems
Chapter 18: Performance Features by

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