My database has the following schema:
class Product(models.Model):
pass
class Tag(models.Model):
product = models.ForeignKey(Product)
attr1 = models.CharField()
attr2 = models.CharField()
attr3 = models.CharField()
class AlternatePartNumber(models.Model):
product = models.ForeignKey(Product)
In other words, a Product
has many Tag
s, and a Product
has many AlternatePartNumber
s. Tag
s are a collection of attributes of the Product
.
Given the three attributes in a Tag
, I want to select the associated Product
s that match (could be more than one), as well as all of the AlternatePartNumber
s of each product.
Currently I do this:
# views.py
results = Tag.objects.
filter(attr1=attr1).
filter(attr2=attr2).
filter(attr3=attr3)
# a template
{% for result in results %}
{% for alternate in result.product.alternatepartnumber_set.all %}
{{ alternate.property }}
{% endfor %}
{% endfor %}
This can run thousands of queries, depending on the number of matches. Is there a good way to optimize this? I tried using Tag.objects.select_related().filter...
and that helped some, but it didn't help enough.
The relationship between Product and AlternatePartNumber is a reverse ForeignKey relationship, so select_related()
won't work. You need prefetch_related()
, which is a little less aggressive than select_related()
but can handle many-to-one relationships.
I haven't used prefetch_related() myself before but if I'm reading the documentation correctly, you need something like Tag.objects.prefetch_related('product__alternatepartnumber_set').filter...
. If that doesn't work, specify a related_name on the AlternatePartNumber model and use that instead of alternatepartnumber_set
.
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