I would like to do a SUM on rows in a database and group by date.
I am trying to run this SQL query using Django aggregates and annotations:
select strftime('%m/%d/%Y', time_stamp) as the_date, sum(numbers_data)
from my_model
group by the_date;
I tried the following:
data = My_Model.objects.values("strftime('%m/%d/%Y',
time_stamp)").annotate(Sum("numbers_data")).order_by()
but it seems like you can only use column names in the values() function; it doesn't like the use of strftime().
How should I go about this?
This works for me:
select_data = {"d": """strftime('%%m/%%d/%%Y', time_stamp)"""}
data = My_Model.objects.extra(select=select_data).values('d').annotate(Sum("numbers_data")).order_by()
Took a bit to figure out I had to escape the % signs.
As of v1.8, you can use Func() expressions.
For example, if you happen to be targeting AWS Redshift's date and time functions:
from django.db.models import F, Func, Value
def TimezoneConvertedDateF(field_name, tz_name):
tz_fn = Func(Value(tz_name), F(field_name), function='CONVERT_TIMEZONE')
dt_fn = Func(tz_fn, function='TRUNC')
return dt_fn
Then you can use it like this:
SomeDbModel.objects \
.annotate(the_date=TimezoneConvertedDateF('some_timestamp_col_name',
'America/New_York')) \
.filter(the_date=...)
or like this:
SomeDbModel.objects \
.annotate(the_date=TimezoneConvertedDateF('some_timestamp_col_name',
'America/New_York')) \
.values('the_date') \
.annotate(...)
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