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MySQL for Python

You're reading from   MySQL for Python Integrating MySQL and Python can bring a whole new level of productivity to your applications. This practical tutorial shows you how with examples and explanations that clarify even the most difficult concepts.

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Product type Paperback
Published in Sep 2010
Publisher Packt
ISBN-13 9781849510189
Length 440 pages
Edition 1st Edition
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Author (1):
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Albert Lukaszewski Albert Lukaszewski
Author Profile Icon Albert Lukaszewski
Albert Lukaszewski
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Table of Contents (20) Chapters Close

MySQL for Python
Credits
About the Author
About the Reviewers
Preface
1. Getting Up and Running with MySQL for Python FREE CHAPTER 2. Simple Querying 3. Simple Insertion 4. Exception Handling 5. Results Record-by-Record 6. Inserting Multiple Entries 7. Creating and Dropping 8. Creating Users and Granting Access 9. Date and Time Values 10. Aggregate Functions and Clauses 11. SELECT Alternatives 12. String Functions 13. Showing MySQL Metadata 14. Disaster Recovery Index

Unions


Sometimes, you may not want to limit results but, rather, combine results from multiple queries. Rather than execute two different SELECT statements in Python, you can pass the task to the server with UNION. A UNION is the combination of the results from two SELECT statements into a single result set. Unlike JOINs (discussed in the next section), a UNION does do not combine the results side-by-side, but one after the other. So where the results from the first query end, the results from the second query begin.

The basic syntax of a UNION is as follows:

(<SELECT statement 1>) UNION (<SELECT statement 2>);

Each SELECT statement is discrete as they are neither related nor can they rely on each other's data. The number of columns returned by each SELECT statement must be the same. Otherwise, MySQL will throw an error.

The data type of each column should be the same with respect to the columns of the other statement. If it is not, you can get strange results. Consider this UNION...

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