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Mastering Django: Core

You're reading from   Mastering Django: Core The Complete Guide to Django 1.8 LTS

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Product type Paperback
Published in Dec 2016
Publisher
ISBN-13 9781787281141
Length 694 pages
Edition 1st Edition
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Author (1):
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Nigel George Nigel George
Author Profile Icon Nigel George
Nigel George
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Table of Contents (33) Chapters Close

Mastering Django: Core
Credits
About the Author
www.PacktPub.com
Preface
1. Introduction to Django and Getting Started FREE CHAPTER 2. Views and URLconfs 3. Templates 4. Models 5. The Django Admin Site 6. Forms 7. Advanced Views and URLconfs 8. Advanced Templates 9. Advanced Models 10. Generic Views 11. User Authentication in Django 12. Testing in Django 13. Deploying Django 14. Generating Non-HTML Content 15. Django Sessions 16. Djangos Cache Framework 17. Django Middleware 18. Internationalization 19. Security in Django 20. More on Installing Django 21. Advanced Database Management Model Definition Reference Database API Reference Generic View Reference Settings Built-in Template Tags and Filters Request and Response Objects Developing Django with Visual Studio

Complex lookups with Q objects


Keyword argument queries-in filter(), and others.-are ANDed together. If you need to execute more complex queries (for example, queries with OR statements), you can use Q objects.

A Q object (django.db.models.Q) is an object used to encapsulate a collection of keyword arguments. These keyword arguments are specified as in Field lookups above.

For example, this Q object encapsulates a single LIKE query:

from django.db.models import Q 
Q(question__startswith='What') 

Q objects can be combined using the & and | operators. When an operator is used on two Q objects, it yields a new Q object.

For example, this statement yields a single Q object that represents the OR of two "question__startswith" queries:

Q(question__startswith='Who') | Q(question__startswith='What') 

This is equivalent to the following SQL WHERE clause:

WHERE question LIKE 'Who%' OR question LIKE 'What%'

You can compose statements of arbitrary complexity by combining Q objects with the & and | operators and use parenthetical grouping. Also, Q objects can be negated using the ~ operator, allowing for combined lookups that combine both a normal query and a negated (NOT) query:

Q(question__startswith='Who') | ~Q(pub_date__year=2005) 

Each lookup function that takes keyword-arguments (for example, filter(), exclude(), get()) can also be passed one or more Q objects as positional (not-named) arguments. If you provide multiple Q object arguments to a lookup function, the arguments will be ANDed together. For example:

Poll.objects.get( 
    Q(question__startswith='Who'), 
    Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6)) 
) 

... roughly translates into the SQL:

SELECT * from polls WHERE question LIKE 'Who%'
    AND (pub_date = '2005-05-02' OR pub_date = '2005-05-06')

Lookup functions can mix the use of Q objects and keyword arguments. All arguments provided to a lookup function (be the keyword arguments or Q objects) are ANDed together. However, if a Q object is provided, it must precede the definition of any keyword arguments. For example:

Poll.objects.get( 
    Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6)), 
    question__startswith='Who') 

... would be a valid query, equivalent to the previous example; but:

# INVALID QUERY 
Poll.objects.get( 
    question__startswith='Who', 
    Q(pub_date=date(2005, 5, 2)) | Q(pub_date=date(2005, 5, 6))) 

... would not be valid.

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