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 10 High Performance

You're reading from   PostgreSQL 10 High Performance Expert techniques for query optimization, high availability, and efficient database maintenance

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788474481
Length 508 pages
Edition 3rd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. PostgreSQL Versions FREE CHAPTER 2. Database Hardware 3. Database Hardware Benchmarking 4. Disk Setup 5. Memory for Database Caching 6. Server Configuration Tuning 7. Routine Maintenance 8. Database Benchmarking 9. Database Indexing 10. Query Optimization 11. Database Activity and Statistics 12. Monitoring and Trending 13. Pooling and Caching 14. Scaling with Replication 15. Partitioning Data 16. Avoiding Common Problems 17. Other Books You May Enjoy

Summary

There are almost 200 values you might adjust in a PostgreSQL database's configuration, and getting them all right for your application can be quite a project. The guidelines here should get you into the general area where you should start though, help you avoid the most common pitfalls, and give you an idea what settings are more likely to be valuable when you do run into trouble:

  • The default values in the server configuration file are very short on logging information and have extremely small memory settings. Every server should get at least a basic round of tuning to work around the worst of the known issues.
  • The memory-based tunables, primarily shared_buffers and work_mem, need to be adjusted carefully and in unison to make sure your system doesn't run out of memory altogether.
  • The query planner needs to know about the memory situation, and have good table...
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