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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

Common mistakes in writing queries

There are some common mistakes and bad practices that developers may fall into. For example, a relational database is based on set theory; new developers tend to think in the scope of row-level manipulation instead of set manipulation. In addition, a lot of people create poor physical designs because they aren't familiar with relational-database modeling. In this section, we'll cover common mistakes in writing queries. For modelling issues, it's recommended to have a look at normalization because normalization also can boost performance by reducing data size and enhance statistics. In general, there are several issues that might lead to bad performance:

  • Incorrect statistics: This might happen if there are cross-correlations among predicates, or if the predicates have an immutable function.
  • Unnecessary data retrieval: When there...
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