Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

Arrow left icon
Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
Author Profile Icon Salahaldin Juba
Salahaldin Juba
Arrow right icon
View More author details
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

SQL language and PL/pgSQL – a comparison


As shown in Chapter 04, PostgreSQL Advanced Building Blocks, one can write functions in C, SQL, and PL/pgSQL. There are some pros and cons to each approach. One 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 often behaves better 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 that can be found at http://www.postgresql.org/docs/current/interactive/plpgsql-implementation.html. Finally, with the introduction of CTE, recursive CTE, window functions, and LATERAL JOINS, one can perform complex logic using only SQL. If function logic can be implemented in SQL, use an SQL function instead of PL/PGSQL.

The PL/pgSQL function execution plan is...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime