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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

The problem


You need to collate and rearrange the contents of several databases into one table whenever a given indicator is achieved (the indicator may be, among other things, a stock price, a value in one of the databases, or the flight pattern of African swallows). The format and length of the tables are predictable. There are 5,000 records in each table so manually running a separate INSERT statement for each record is not a viable option even with the programs used in earlier chapters. The problem calls for a means of iterating through a series and changing the INSERT statement automatically. Using what we have covered in previous chapters, we could pursue one of the following two ways to do this:

  • Write a MySQL script to insert the data in batch mode

  • Iterate over the data to form and execute a MySQL INSERT statement accordingly

None of these are a very good solution to the present problem.

Why not a MySQL script?

As we have seen when we created the world and Sakila databases, a MySQL script...

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