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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

Introduction


Indexes are in essence a database structure that speeds up fetching the data access operations. Indexes are basically used to boost database performance by rapidly locating data without having to search every row in the database table every time it is accessed. Data access via indexes is known as an indexed scan and it is used to provide random lookups and organized access of ordered records. In this chapter, we are going to talk about indexes, performing maintenance operations on indexes, and comparing indexed and sequential scans:

  • One of the major responsibilities of a DB admin is to use some third-party tools to manage the database as not all can be done through scripting. Every tool is designed for a specific purpose and can be utilized as per our requirements.

  • In this chapter, we are going to cover tools such as Barman and OmniPITR, which are related to backup/recovery and WAL management, repmgr for auto-failover and setting up replicas in an easy way, and Walctl to create...

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