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Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
Author Profile Icon Salahaldin Juba
Salahaldin Juba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability

Scalability

This final chapter of the book will be dedicated to the problem of scalability. This term means the ability of a software system to grow with the growth of the business using it. PostgreSQL does provide some features that help building a scalable solution but, strictly speaking, PostgreSQL itself is not scalable. It can effectively utilize the resources of a single machine:

  • It uses multiple CPU cores to perform a single query faster with parallel query
  • When configured properly, it can use all available memory for caching
  • The size of the database is not limited by PostgreSQL; supporting multiple tablespaces, it can use several hard disks and with partitioning, it can do this quickly and transparently to the users

However, when it comes to spreading a database solution to multiple machines, it can be quite problematic because a standard PostgreSQL server...

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