Arithmetic operations on aggregates

[Debanshu Kundu]

In many cases one may require to do simple arithmetic operations (+, -, *, /) on aggregated (with numbers or other aggregates).
Eg. For model Xyz:

class Xyz(models.Model):
    a = models.IntegerField()
    b = models.IntegerField()

If I want to find percent ratio of sum of all a and sum of all b, I can write:

Xyz.objects.aggregate(ratio_percent=Sum('a')/Sum('b')*100)

This type of functionality has been implemented in this commit ​https://github.com/debanshuk/django/commit/722f7a4a17870fe1ffb6c207153d1fca6388a401

More operations (like pow) can also be added.

[Debanshu Kundu]

Also added pull request ​https://github.com/django/django/pull/1484

[wim@…]

Hi debanshuk,

Wouldn't it be possible to make the same calculation outside of the aggregate? That seems cleaner to me.

Wim

[Debanshu Kundu]

Hi Wim,

In the example given in the description, it would. And I guess in case of aggregates it would always be possible to make the calculations out side aggregate.
But, in case of annotate it would not. Well, it would certainly be possible, but wouldn’t be cleaner, as one would have to do the calculations for each element in resultant query-set.

Eg. Let modified Xyz be:

class Xyz(models.Model):
    user = models.ForeignKey(User)

    a = models.IntegerField()
    b = models.IntegerField()

Now if I want to find percent ratio of sum of all a and sum of all b of a user, for each user. I may write:

Xyz.objects.values('user').annotate(ratio_percent=Sum('a')/Sum('b')*100)

Currently, to do this (without writing raw SQL), one would have to do something like:

result = Xyz.objects.values('user').annotate(total_a=Sum('a'), total_b=Sum('b'))
final_result = [{'user': r['user'], 'ratio_percent': r['total_a']/r['total_b']*100} for r in result]

Also, If someone want to aggregate over annotation results, like in the example if I want to find maximum of the percentages, I may do:

Xyz.objects.values('user').annotate(ratio_percent=Sum('a')/Sum('b')*100).aggregate(Max('ratio_percent'))

Currently, I would have to do:

result = Xyz.objects.values('user').annotate(total_a=Sum('a'), total_b=Sum('b'))
final_result = max(r['total_a']/r['total_b']*100 for r in result)

In the second one, max calculation in done in python. In the first one it is done in SQL itself.

Debanshu Kundu.

[Tim Graham]

Duplicate of #14030?

[Debanshu Kundu]

Well...not exactly duplicate, as #14030 is for something like this:

Xyz.objects.aggregate(Sum(F('a')/F('b')*100))

but I guess #14030 can be extended to implement functionality of this ticket. In case of annotate something like this can be done:

Xyz.objects.values('user').annotate(total_a=Sum('a'), total_b=Sum('b')).values('user', ratio_percent=F('total_a')/F('total_b')*100)

But, in case of aggregate this wont work as aggregate returns dict (not QuerySet). So, I guess some changes are required for aggregate. Also, both functionalities (operations on aggregates and passing F objects to aggregates) can co-exist (as I think).

[Debanshu Kundu]

Added pull request ​https://github.com/django/django/pull/1510. Fixed code and added tests and docs.

[Debanshu Kundu]

Did amendment in the commit in pull request. Updated some conditions in test-cases to make them more reliable.

[Josh Smeaton]

FYI - the implementation of #14030 satisfies this ticket.