Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
PostgreSQL High Performance Cookbook

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

Arrow left icon
Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
Arrow right icon
View More author details
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

Timing overhead

In this recipe, we will be discussing overhead of system timing calls.

Getting ready

In general, operating systems maintain a set of clock sources that monotonically increase the time value. When we execute any time-related commands such as date, then the operation system reads the date time value from the underlying hardware clock and then returns the output in human readable format. The clock sources are designed as it should maintain its consistency throughout all of its system time calls. In any case, the clock source should not give us any time value that is in the past. That is, the clock time should be an atomically incremental value. If the clock source loses its consistency due to a bad hardware time keeper, then we also lose the system stability.

While running the EXPLAIN ANALYZE command, PostgreSQL needs to run multiple system time calls, which keep tracking each node type start and end execution time. When the system loses its consistency in keeping its time value...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image