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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

The problem of scalability and the CAP theorem

The requirement for a system to be scalable means that a system that supports a business now should also be able to support the same business with the same quality of service when it grows. A database can store 1 GB of data and effectively process 100 queries per second. What if the business grows 100 times? Will it be able to support 10,000 queries per second processing 100 GB of data? Maybe not now and in not the same installation. However, a scalable solution should be ready to be expanded to be able to handle the load as soon as it is needed.

Usually, scalability comes together with the distributed architecture of a system. If the database was able to utilize the power of multiple computers, then in order to scale it, one would need to add more computers to the cluster. There are solutions that do this. In fact, many NoSQL databases...

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