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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

Server-side sorting in MySQL


When sorting results, MySQL allows for two types of ordering: by group and by item. Below, we look at each in turn in terms of their respective clauses:

  • GROUP BY

  • ORDER BY

Despite their syntactical similarities, each has its distinct applications and limitations.

GROUP BY

The GROUP BY clause is used to organize results according to the structure of the data returned. The clause itself is appended to the end of the SELECT statement. The basic syntax is:

SELECT <column name(s)> FROM <table name> GROUP BY <column name as key>;

As a rule, GROUP BY cannot be used in conjunction with a universal quantifier ('*') instead of the column name(s). Rather, the column used as the key for sorting must be stated among the column names indicated for the query.

Using the world database, we can ascertain what the database records as the official language of each country in the world, with the following query:

SELECT CountryCode, Language FROM CountryLanguage WHERE IsOfficial...
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