Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
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

Studying hot and cold cache behavior


Database cache plays a vital role in the query performance. In this recipe, we will be discussing the hot and cold cache impact on the submitted SQL.

Getting ready

Cold cache is the behavior when the submitted SQL does not find its required data in memory, which leads to process to read the data from the disk into the memory. Hot cache is vice versa to the cold cache. If the SQL's required data is found in the memory, then it is a hot cache behavior, which will avoid the disk read operations, and also improves the query response time. The query performance is directly proportional to the amount of data we have in the memory. That is, if we can make less I/O operations then performance will improve automatically.

How to do it…

PostgreSQL provides a few extensions such as pg_prewarm, pg_buffercache, which will help us to deal with cache. So, let's create these two extensions as follows:

benchmarksql=# CREATE EXTENSION pg_buffercache ; 
CREATE EXTENSION...
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