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PostgreSQL High Availability Cookbook

You're reading from   PostgreSQL High Availability Cookbook Managing a reliable PostgreSQL database

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781787125537
Length 536 pages
Edition 2nd Edition
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Author (1):
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Shaun Thomas Shaun Thomas
Author Profile Icon Shaun Thomas
Shaun Thomas
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Toc

Table of Contents (12) Chapters Close

Preface 1. Hardware Planning FREE CHAPTER 2. Handling and Avoiding Downtime 3. Pooling Resources 4. Troubleshooting 5. Monitoring 6. Replication 7. Replication Management Tools 8. Simple Stack 9. Advanced Stack 10. Cluster Control 11. Data Distribution

Creating a scalable nextval replacement

Now that we have all of the tools to communicate between disparate servers, we can start building a very rudimentary API to generate ID values that are distinct across a pool of database servers. By doing so, database-level function calls are available to the application and encourage data distribution, otherwise known as application-level sharding. This, in turn, increases our scalability and availability, as it will take far more than a single database outage to truly derail the application.

A company that did this early in the development cycle of their platform is Instagram. In fact, they're very open about the process they used, as described in this blog post:

http://instagram-engineering.tumblr.com/post/10853187575/sharding-ids-at-instagram

 

The idea they implemented may seem complicated but is actually deceptively simple. Here's a basic breakdown of...

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