I want to show in an Html the name of the city, state, and country of a publication. But they are in different tables.
Here is my models.py
class country(models.Model):
country_name = models.CharField(max_length=200, null=True)
country_subdomain = models.CharField(max_length=3, null=True)
def __str__(self):
return self.country_name
class countrystate(models.Model):
state_name = models.CharField(max_length=200, null=True)
country = models.ForeignKey(country, on_delete=models.CASCADE, null=True)
importance = models.IntegerField(null=True)
def __str__(self):
return self.state_name
class city(models.Model):
city_name = models.CharField(max_length=200, null=True)
countrystate = models.ForeignKey(countrystate, on_delete=models.CASCADE, null=True)
def __str__(self):
return self.city_name
class publication(models.Model):
user = ForeignKey(users, on_delete=models.CASCADE, null=False)
title= models.CharField(max_length=300, null=True)
country=models.ForeignKey(country, on_delete=models.CASCADE, null=True)
countrystate=models.ForeignKey(countrystate, on_delete=models.CASCADE, null=True)
city=models.ForeignKey(city, on_delete=models.CASCADE, null=True)
def __str__(self):
return self.title
Here is my views.py
def publications(request):
mypublications = publication.objects.filter(user_id=request.session['account_id'])
dic.update({"plist": mypublications })
return render(request, 'blog/mypublications.html', dic)
In a django view, what is the equivalent of the next sql query?
SELECT p.user_id, p.title, c.cuntry_id, c.country_name, s.state_id, s.state_name, y.city_id, y.city_name FROM publication AS p
INNER JOIN country AS c ON c.id = p.country_id
INNER JOIN countrystate AS s ON s.id = p.countrystate_id
INNER JOIN city AS y ON y.id = p.city_id
Let me beginning by describing meanings of terms and get order going...
InnerJoin implies the "common" section between the two (or more) tables. Each one being performed one after the other, as your SQL query suggests.
going through your SQL query, you are looking at Publication as the main, all your query are foreign key within publication, giving you ENTIRE dataset.
if my understanding goes correctly what you are looking for in Django equivalent is filter, in chain (not Query), because Q will give you results from each Q separately and join them, while you want results from one applied onto another.
(I dont know what the dic.update({"plist": mypublications }) does, its not clear.. Solution:
country = country.objects.all()
# gets all the country in the table of country.country_state = countrystate.objects.all()
# get all the countrystate objectscity = city.objects.all()
# get all city objectssolution 1: in python3 you need to use __in, this works ok in Python2. and will get you country with anything from table country (not None), table countrystate (not None), table city (not None), so if anything from anyone of them, it would provide. Note: 'None' (python) = 'Null' (SQL Database) Getting all publications that are having anything from the above (practically will bring you anything.
publications_list = publication.objects.filter(country = country, countrystate = country_state, city = city)
# get if anyone from any of those where 'id' (based on which is object) match, which makes it innerjoin in itself.You don't need an INNER JOIN nor
select_related
for this simple case, because you can traverse directly in template to thecity
,countrystate
, andcountry
– based on what I just experienced in my project.Since your QuerySet is set via context
dic['plist']
, then, in template you can just:You are probably looking for
select_related
, which is the natural way to achieve this:You can check the resulting SQL via
str(pubs.query)
, which should result in output along the following lines (the example is from a postgres backend):The returned cursor values are then translated into the appropriate ORM model instances, so that when you loop over these publications, you access the related tables' values via their own objects. However, these accesses along the pre-selected forward relations will not cause extra db hits: