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 Replication, Second Edition

You're reading from   PostgreSQL Replication, Second Edition Leverage the power of PostgreSQL replication to make your databases more robust, secure, scalable, and fast

Arrow left icon
Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783550609
Length 322 pages
Edition 1st Edition
Arrow right icon
Toc

Table of Contents (17) Chapters Close

Preface 1. Understanding the Concepts of Replication FREE CHAPTER 2. Understanding the PostgreSQL Transaction Log 3. Understanding Point-in-time Recovery 4. Setting Up Asynchronous Replication 5. Setting Up Synchronous Replication 6. Monitoring Your Setup 7. Understanding Linux High Availability 8. Working with PgBouncer 9. Working with pgpool 10. Configuring Slony 11. Using SkyTools 12. Working with Postgres-XC 13. Scaling with PL/Proxy 14. Scaling with BDR 15. Working with Walbouncer Index

Understanding the basic concepts

As we have mentioned before, the idea behind PL/Proxy is to scale out writes as well as reads. Once the writes are scaled out, reading can easily be scaled with the techniques we have already outlined in this book before. It is really necessary to point out that writes are the key issue here because reads are more easily scaled using plain old replicas.

The question now is: how can you ever scale out writes? To do so, we have to follow an old Roman principle, which has been widely applied in warfare: "Divide et impera" (in English: "Divide and conquer"). Once you manage to split a problem into many small problems, you are always on the winning side.

Applying this principle to the database work means that we have to split writes and spread them to many different servers. The main aim here is to split up data wisely.

As an example, we simply assume that we want to split user data. Let's assume further that each user has a username to...

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