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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

Removing or deleting databases


To remove or delete a database in MySQL, we use a DROP statement. This statement is functionally the opposite of the basic CREATE statement used previously:

DROP DATABASE <database name>;

So, for csv, a DROP statement would look like this:

DROP DATABASE csv;

Note that the DROP statement not only deletes the structure of the database setup by CREATE but also irrevocably drops all of the database data, as well.

Avoiding errors

As with the CREATE statement, MySQL's DROP statement also supports a test for existence. If the database you wish to drop does not exist, MySQL will throw an error. Therefore, it is good practice to use the IF EXISTS conditional as follows:

DROP DATABASE IF EXISTS <database name>;

For a database called foo, this statement would read:

DROP DATABASE IF EXISTS foo;

Preventing (illegal) access after a DROP

By dropping a database, one simply removes it from the list of available databases that MySQL knows about.

Note

Using DROP does not remove...

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