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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

Project: Converting a CSV file to a MySQL table


The CSV file is a very common way to share tabular information across several platforms and programs. Every mature spreadsheet application supports the format. Therefore, various sectors of enterprise rely on it daily.

As the name implies, CSV files contain comma-separated values. These values are often enclosed in quotation marks. This tends to make CSV a predictable format for data and makes for easy development.

But for all its uses, the CSV format is very slow for searching and for collating data. Relational databases (RDBMS) are much more efficient. Therefore, it is useful to be able to import data from a CSV file into MySQL. Unfortunately, MySQL does not do this natively and not without considerable trouble.

Note

For examples of what some MySQL users do to import CSV file content into MySQL, see the comments on the mysqlimport client: http://dev.mysql.com/doc/refman/5.4/en/mysqlimport.html

Further, if one tries to use mysqlimport for files...

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