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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

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...

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