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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

Backing up a database with Python


As we have seen, there are three methods of archiving a MySQL database that a developer can use:

  • Copying the MySQL table files directly

  • Exporting data to a delimited text file

  • Creating a dumpfile

The first and last of these require special permissions on the server. To use Python to manage the backup merely automates the process but still requires you to have access beyond SELECT.

Using MySQLdb, however, we can export the data with only basic privileges. Simply store the results of the SELECT statement into a variable, format it appropriately, and write it to a file.

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