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Learning PostgreSQL 11

You're reading from   Learning PostgreSQL 11 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Christopher Travers Christopher Travers
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Christopher Travers
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Toc

Table of Contents (18) Chapters Close

1. Relational Databases 2. PostgreSQL in Action FREE CHAPTER 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 17. What's Next? 18. Other Books You May Enjoy

OLTP and OLAP

When a database works as a backend for an application, it implements an OLTP solution. This means that the database is supposed to perform a lot of small transactions on a regular basis. The car portal database we used as an example in previous chapters is an example of a typical OLTP data structure. The application working with this database executes a transaction each time a user does something: creates an account, modifies the password, enters a car into the system, creates or changes an advertisement, and so on. Each of these actions causes a transaction in the database that would create, change or delete a row/couple of rows in one or more tables. The more users work with the system, the more often the transactions are performed. The database should be able to handle the load, and its performance is measured by the number of transactions per second it can handle...

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