PostgreSQL High Performance Cookbook Front Cover

PostgreSQL High Performance Cookbook

  • Length: 393 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2017-04-06
  • ISBN-10: 1785284339
  • ISBN-13: 9781785284335
  • Sales Rank: #1592513 (See Top 100 Books)
Description

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

Table of Contents

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

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