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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

executemany(): Behind the scenes


As seen previously, it is not necessary to have an intimate knowledge of the entire process behind executemany() in order to use it. But to truly know what you are doing with it, you must follow the Python motto for learning:

Use the source, Luke!

In that vein, let's take a look at the underlying code of executemany(). The definition line indicates that executemany() requires the SQL query to be processed as well as the arguments for that statement.

def executemany(self, query, args):

As noted under executemany(): Basic syntax section, previously, both the statement and the arguments are mandatory. executemany() expects you to feed it a template for query and the values to be inserted for args.

        del self.messages[:]
        db = self._get_db()
        if not args: return

We will skip the docstring as you can access it through help(cursor.executemany) in a Python shell. The method starts by deleting the contents of the messages attribute.

Note

More on the del...

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