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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

Exception handling


One could trap and raise errors in PostgreSQL using the exception and raise statements. Errors can be raised by violating data integrity constraints, or by performing illegal operations such as assigning text to integers, dividing an integer or float by zero, out-of-range assignments, and so on. By default, any error occurrence inside a PL/pgSQL function causes the function to abort the execution and roll back the changes. To be able to recover from errors, PL/pgSQL can trap the errors using the EXCEPTION clause. The syntax of the exception clause is very similar to PL/pgSQL blocks. Moreover, PostgreSQL can raise errors using the RAISE statement. To understand exception handling, let's consider the following helping function:

CREATE OR REPLACE FUNCTION check_not_null (value anyelement ) RETURNS VOID AS
$$
BEGIN
  IF (value IS NULL) THEN RAISE EXCEPTION USING ERRCODE = 'check_violation'; END IF;
END;
$$ LANGUAGE plpgsql;

The check_not_null statement is a polymorphic function...

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