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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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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

The SQL language and PL/pgSQL – a comparison

As illustrated in Chapter 4, PostgreSQL Advanced Building Blocks, we can write functions in C, SQL, and PL/pgSQL. There are some pros and cons to each approach. You can think of an SQL function as a wrapper around a parameterized SELECT statement. SQL functions can be inlined into the calling subquery, leading to better performance. Also, since the SQL function execution plan is not cached as in PL/pgSQL, it is often better in performance than PL/pgSQL. Moreover, caching in PL/pgSQL can have some surprisingly bad side effects, such as the caching of sensitive timestamp values, as shown in the documentation at http://www.postgresql.org/docs/current/interactive/plpgsql-implementation.html. Finally, with the introduction of CTE, recursive CTE, window functions, and LATERAL JOINS, you can perform complex logic using only SQL. If...

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