I'm having a hard time finding a decent explanation about this in django's official documentation, so I'll ask my question here.
in django 5.0 if two models have a relationship (let's call them Model1
and Model2
) with whether a OneToOneField, ForeignKey or ManyToManyField , when you fetch some objects from the database with a query like this :
data = Model1.objects.filter(field1=value)
do the Model2
objects related to the objects in data
(which are of the type Model1
) get fetched and joined to the queryset automatically?
if the answer to my question is YES, I wanna know how to exclude some related data from the queryset and if the answer is NO, I wanna know how to include them in the queryset.
note that the relationship might be of any type (one-to-one , many-to-one, many-to-many) and can be a reverse or forward relationship. if the answer to my question depends on the type of relationship between two objects, please explain all the possible cases.
if you know where exactly I can read about this, please leave me a link.
I've tried asking a bunch of AIs about this but they just confused me with contradictory answers.
do the
Model2
objects related to the objects in data (which are of the typeModel1
) get fetched and joined to the queryset automatically?
No, but it is not complicated to do so, work with .select_related(…)
[Django-doc]:
Model1.objects.filter(field1=value).select_related('my_field_name')
where my_field_name
is either the name of the ForeignKey
or OneToOneField
, or the related_name
[Django-doc] of a OneToOneField
.
If you want to work with ManyToManyField
s or reverse ForeignKey
s, then using a JOIN would be bad query design: it means the same column values will be repeated for Model1
for as much related Model2
s there are. In that case .prefetch_related(…)
[Django-doc] is used, which will make an extra query to fetch all related items of all the items in the first queryset, and thus minimizing bandwidth between the database and the Django application:
Model1.objects.filter(field1=value).select_related('my_m2m_field_name')
You can also use this for (reversed) OneToOneField
s and ForeignKey
s.
I've tried asking a bunch of AIs about this but they just confused me with contradictory answers.
Chatbots are essentially a word predictator: it detedrmines what is the most likely next word with a given context. As a result asking the same question generates different answers, and slight changes in the question can also trigger totally different answers.