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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

Summary


There are several aspects to tuning the performance of PostgreSQL. These aspects are related to hardware configuration, network settings, and PostgreSQL configuration. PostgreSQL is often shipped with a configuration that is not suitable for production. Due to this, one should at least configure the PostgreSQL buffer settings, RAM settings, number of connections, and logging. Note that several PostgreSQL settings are correlated, such as the RAM settings and the number of connections. In addition to this, one should take great care with settings that require a server restart, because these are difficult to change in the production environment. Often, PostgreSQL produces a good execution plan if the physical structure of a database is normalized and the query is written properly. However, this is not always the case. To overcome performance issues, PostgreSQL provides the EXPLAIN utility command, which can be used to generate execution plans. The EXPLAIN command has several options...

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