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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 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 the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

What this book covers

Chapter 1, Database Benchmarking, deals with a few major system component benchmarkings such as CPU, disk, and IOPS, besides database benchmarking. In this chapter, we will discuss a benchmarking frame called phoronix, along with disk RAID levels.

Chapter 2, Server Configuration and Control, deals with how to control the PostgreSQL instance behavior with the help of a few major configuration parameter settings.

Chapter 3, Device Optimization, discusses CPU, disk, and memory-related parameters. Besides this, we will be discussing memory components of PostgreSQL along with how to analyze the buffer cache contents.

Chapter 4, Monitoring Server Performance, discuss, various Unix/Linux related operating system utilities that can help the DBA in performance analysis and troubleshooting issues.

Chapter 5, Connection Pooling and Database Partitioning, covers connection pooling methods such as pgpool and pgbouncer. Also, we will be discussing a few partitioning techniques that PostgreSQL offers.

Chapter 6, High Availability and Replication, is about various high availability and replication solutions, including some popular third-party replication tools such as Slony, Londiste, and Bucardo. Also, we will be discussing how to set up the PostgreSQL XL cluster.

Chapter 7, Working with Third-Party Replication Management Utilities, discusses different third-party replication management tools, such as repmgr. Also, this chapter covers a backup management tool called Barman, along with WAL management tools, such as walctl.

Chapter 8, Database Monitoring and Performance, shows different aspects of how and what to monitor in the PostgreSQL instance to achieve the better performance. Also, in this chapter, we will be discussing a few troubleshooting techniques that will help the DBA team.

Chapter 9, Vacuum Internals, is about MVCC and how to handle PostgreSQL's transaction wraparound issues. Also, we will see how to control the bloat using snapshot threshold settings.

Chapter 10, Data Migration from Other Databases to PostgreSQL and Upgrading PostgreSQL Cluster, covers heterogeneous replication between Oracle and PostgreSQL using Goldengate.

Chapter 11, Query Optimization, discusses the functionality of PostgreSQL query planner. Besides this, we will be discussing several query processing algorithms with examples.

Chapter 12, Database Indexing, covers various index loop techniques PostgreSQL follows. Besides, we will be discussing various index management methods, such as how to find unused or missing indexes from the database.  

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