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I have this Table (Counters):

cell_id tftralacc tfnscan thtralacc thnscan date_time
13997 10 360 94 360 2022-02-22 00:00:00+01
13997 0 360 0 360 2022-02-22 01:00:00+01
13997 0 360 0 360 2022-02-22 02:00:00+01
13997 0 360 0 360 2022-02-22 03:00:00+01
13997 36 360 83 360 2022-02-22 04:00:00+01
13997 0 360 2 360 2022-02-22 05:00:00+01
13997 1 360 15 360 2022-02-22 06:00:00+01
13997 11 360 159 360 2022-02-22 07:00:00+01
13997 21 360 409 360 2022-02-22 08:00:00+01
13997 25 360 1282 360 2022-02-22 09:00:00+01
13997 20 360 1201 360 2022-02-22 10:00:00+01
13997 30 360 1381 360 2022-02-22 11:00:00+01
13997 42 360 924 360 2022-02-22 12:00:00+01
14000 1 360 36 360 2022-02-22 00:00:00+01
14000 0 360 0 360 2022-02-22 01:00:00+01
14000 1 360 0 360 2022-02-22 02:00:00+01
14000 0 360 2 360 2022-02-22 03:00:00+01
14000 0 360 0 360 2022-02-22 04:00:00+01
14000 0 360 12 360 2022-02-22 05:00:00+01
14000 3 360 4 360 2022-02-22 06:00:00+01
14000 24 360 123 360 2022-02-22 07:00:00+01
14000 31 360 374 360 2022-02-22 08:00:00+01
14000 18 360 620 360 2022-02-22 09:00:00+01
14000 38 360 1616 360 2022-02-22 10:00:00+01
14000 36 360 1410 360 2022-02-22 11:00:00+01
14000 24 360 957 360 2022-02-22 12:00:00+01

I want to get the specific date_time value of the maximum traffic (which is calculated based on the the fields tftralacc, tfnscan, thtralacc and thnscan) for every cell_id.

I've managed to get this maximum value for every cell_id by using the annotate() and group_by() functions of the Django's QuerySet API:

result = Counters.objects.filter(
    date_time__gte = date_start,
    date_time__lte = date_end
).annotate(
    # calculate the traffic for each row.
    traffic = Case(
        When(Q(tfnscan=0) or Q(thnscan=0), then=0),
        default = Round((F('tftralacc')*1.0/F('tfnscan')) + 
                        (F('thtralacc')*1.0/F('thnscan')), 2),
        output_field=FloatField()
    )
).order_by('cell_id').values(
    # Group by cell_id.
    'cell_id'
).order_by().annotate(
    # calculate the max traffic for the grouped Cells.
    max_traffic = Max('traffic')
)

The calculated traffic for every date_time is demonstrated here: enter image description here

My code successfully returns the maximum traffic for every cell_id:

cell_id max_traffic
13997 3.92
14000 4.59

But my goal is to get the Corresponding date_time value for every max value. like this:

cell_id max_traffic date_time
13997 3.92 2022-02-22 11:00:00+01
14000 4.59 2022-02-22 10:00:00+01

or

cell_id date_time
13997 2022-02-22 11:00:00+01
14000 2022-02-22 10:00:00+01

Because that max value is just a mean to get the date_time and not the goal.

Note: There is this question that describes my problem, but its answer refers to a work-around solution, which is not possible with my problem. SO Question

ZSmain
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1 Answers1

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Use models.Subquery with models.OuterRef to join on cell_id field. Then use queryset.annotate() to annotate the subquery with max_traffic. Finally, use queryset.filter() to select rows that have traffic equals to max_traffic and use .distinct() to remove duplicate rows.

counters_with_traffic = Counters.objects.filter(
    date_time__gte=date_start,
    date_time__lte=date_end
).annotate(
    # calculate the traffic for each row.
    traffic=Case(
        When(Q(tfnscan=0) | Q(thnscan=0), then=0),
        default=Round((F('tftralacc') * 1.0 / F('tfnscan')) +
                      (F('thtralacc') * 1.0 / F('thnscan')), 2),
        output_field=models.FloatField()
    )
)

counters_with_max_traffic = counters_with_traffic.order_by('cell_id').values(
    # Group by cell_id.
    'cell_id'
).order_by().annotate(
    # calculate the max traffic for the grouped Cells.
    max_traffic=Max('traffic'),
).filter(cell_id=models.OuterRef("cell_id")).values("max_traffic")

result = counters_with_traffic.annotate(
    max_traffic=models.Subquery(counters_with_max_traffic),
).filter(
    traffic=models.F("max_traffic")
).values(
    "cell_id", "max_traffic", "date_time"
).distinct("cell_id", "max_traffic")
ZSmain
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annonymous
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  • thank you for the answer, but I've got an exception error: column "u0.date_time" must appear in the GROUP BY clause or be used in an aggregate function LINE 1: ...eric(1000, 15), 2) END) AS "max_traffic", (SELECT U0."date_t... – ZSmain Apr 24 '22 at 23:28
  • I see. I've updated my answer. Could you try again? – annonymous Apr 25 '22 at 16:34
  • Now, It works but, it does return all "date_time" and "traffic" values for every "cell_id" – ZSmain Apr 25 '22 at 18:38
  • I've updated my answer again. Does it help? – annonymous Apr 26 '22 at 12:08
  • It gaves the same result, distinct here will not help because, all the returned values are distinct for every "cell_id", if it's not the "traffic", it's the "date_time" – ZSmain Apr 26 '22 at 13:32
  • Does it happen when all `traffic` of a `cell_id` have the same values or when `max_traffic` is duplicated? – annonymous Apr 26 '22 at 14:27
  • I didn't notice until you mentioned that, Yeah, it does happen when the `max_traffic` is duplicated. – ZSmain Apr 26 '22 at 18:51