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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

Choosing a backup method


After having determined whether a database can be stopped for the backup, a developer can choose from three methods of archiving:

  • Copying the data files (including administrative files such as logs and tablespaces)

  • Exporting delimited text files

  • Backing up with command-line programs

Which you choose depends on what permissions you have on the server and how you are accessing the data.

Note

MySQL also allows for two other forms of backup: using the binary log and by setting up replication (using the master and slave servers). To be sure, these are the best ways to back up a MySQL database. But, both of these are administrative tasks and require system-administrator authority; they are not typically available to a developer. However, you can read more about them in the MySQL documentation. Use of the binary log for incremental backups is documented at:

http://dev.mysql.com/doc/refman/5.5/en/point-in-time-recovery.html

Setting up replication is further dealt with at:

http:/...

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