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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

Using metadata


On February 23, 2006, an American B-2 bomber crashed shortly after take-off in Guam due to bad data being fed to the airplane's flight control computers. A lack of data checking resulted in the loss of a $2.1 billion plane. As with any user interaction in programming, it is foolish to trust data without validating its integrity first.

One of the main ways of validating user input is to verify the data definition for the database. More often than not, the database definition will be known at the time of application development. You can then verify user input against a known specification. However, if you do not have this luxury, you will need to query the database for its definition and ensure the user's data does not run afoul of it.

Querying the database for its structure

If we are completely ignorant of a database's structure, we need to first retrieve a table listing. To affect that, we use SHOW TABLES.

statement = """SHOW TABLES"""
command = cur.execute(statement)

Be sure to...

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