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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
Author Profile Icon Christopher Travers
Christopher Travers
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Toc

Table of Contents (18) Chapters Close

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 17. What's Next? 18. Other Books You May Enjoy

Summary

In this chapter, we learned about some advanced SQL concepts and features, such as CTEs and window functions. These features, for example, allow us to implement a logic that wouldn't be possible otherwise, that is, recursive queries.

The other techniques explained here, such as the DISTINCT ON clause, grouping sets, the FILTER clause, and lateral subqueries, could be replaced by simple structures. However, that would require a lot of coding, and the result would be more complex and would work more slowly.

SQL can be used to implement very complicated logic. However, in difficult cases, queries can become overcomplicated and hard to maintain. Moreover, sometimes, it isn't possible to do certain things in pure SQL. In these cases, you need a procedural language to implement an algorithm. The next chapter will introduce one of them: PL/pgSQL.

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