I'm trying to accomplish this using Django 2.0 ORM, but if you can solve this with a raw SQL query that would be very helpful too.
Say for example I have a table with the column "destination", which will always be the name of a city, such as "Los Angeles", "New York", "San Francisco", or "Seattle" (but we don't know in advance how many different cities there could be).
I need a SQL query (or Django ORM code) that will get me a count of all the cities for a specified date range, grouped by the record's week (based on created_at timestamp, with weeks starting on Mondays).
Here is an example of the Django model (very simple):
from django.db import models
from django.utils import timezone
class Package(models.Model):
id = models.AutoField(serialize=False, primary_key=True)
name = models.CharField(max_length=64)
email = models.CharField(max_length=128, unique=True)
phone = models.CharField(max_length=32)
destination = models.CharField(max_length=64)
created_at = models.DateField(db_index=True, default=timezone.now)
updated_at = models.DateField(default=timezone.now)
And here is an example of the desired output, structured as JSON:
{
"2017-06-05-2017-06-11": {
"Los Angeles": 100,
"New York": 50,
"Copenhagen": 20
},
"2017-06-12-2017-06-18": {
"Los Angeles": 10,
"Toronto": 23,
"Las Vegas": 21,
"Carson City": 8,
"Raleigh": 1
},
"2017-06-19-2017-06-25": {
"Toronto": 24,
"Tokyo": 75,
"Kansas City": 123,
"Salem": 84,
"Bismarck": 22,
"Boise": 77,
"Las Vegas": 123
}
}
Note that the results can vary in size, the date ranges all start on a Monday and end on a Sunday (both inclusive), and the city names are variable and unknown.
I know there are ways to build this into Python logic and do many queries, but I'm hoping we can do this in a single query. Thanks!
for raw query you could group by an count
select destination, week(created_at,1), count(*)
from my_table
group by destination, week(created_at,1)
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