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Learning PostgreSQL

You're reading from   Learning PostgreSQL Create, develop and manage relational databases in real world applications using PostgreSQL

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Product type Paperback
Published in Nov 2015
Publisher Packt
ISBN-13 9781783989188
Length 464 pages
Edition 1st Edition
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Toc

Table of Contents (16) 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. PostgreSQL Security 9. The PostgreSQL System Catalog and System Administration Functions 10. Optimizing Database Performance 11. Beyond Conventional Data types 12. Testing 13. PostgreSQL JDBC 14. PostgreSQL and Hibernate Index

Dynamic SQL


Dynamic SQL is used for building and executing queries on the fly. Unlike the static SQL statement, a dynamic SQL statement full text is unknown, and can change between successive executions. These queries can be DDL, DCL, and DML statements. Dynamic SQL is used for reducing repetitive tasks. For example, one could use dynamic SQL to create table partitioning for a certain table on a daily basis, add missing indexes on all foreign keys, or add data auditing capabilities to a certain table without major coding effects. Another important use of dynamic SQL is to overcome the side effects of PL/pgSQL caching, as queries executed using the EXECUTE statement are not cached.

Dynamic SQL is achieved via the EXECUTE statement. The EXECUTE statement accepts a string and simply evaluates it. The synopsis to execute a statement is given as follows:

EXECUTE command-string [ INTO [STRICT] target ] [ USING expression [, ... ] ];

Executing DDL statements in dynamic SQL

In some cases, one needs...

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