Update database fields hourly with Python/Django - django

Question

Suppose I have 1000 user_ids in a table and I would run every hour to get from Google API info and update 3 fields in that table. How would the impact be and how can it be done efficiently?
I've seen this variant:
m = Module.objects.get(user_id=1).update(field_one=100, field_two=200, field_three=300)
And this one:
m = Module.objects.get(user_id=1)
m.field_one = 100
m.field_two = 200
m.field_three = 300
m.save()
Also how can it be done so that it will run every hour and grab that information? Never done something like this.

Answer 1

Use Redis, Celery to setup asynchronous task queue every hour. Look here https://realpython.com/blog/python/asynchronous-tasks-with-django-and-celery/ for more info on how to setup asych task queue system for django.
Here is the code for tasks.py
from celery.task import periodic_task
from celery.schedules import crontab
#periodic_task(run_every=crontab(minute=0, hour='*/1'))
def get_data_from_google_api():
data_from_google =ping_google_api() # ping google api to get data
return Module.objects.get(user_id=1).update(field_one= data_from_google['field_one'], field_two= data_from_google['field_two'], field_three= data_from_google['field_three'])
Look here for more info :
https://www.caktusgroup.com/blog/2014/06/23/scheduling-tasks-celery/
How to run a Django celery task every 6am and 6pm daily?

Answer 2

Fof this purpose you need to run background queries with periodic taks.
Here is most popular in django task-queue-libs
For example, if you decide use celery, you can write simple periodic task:
from celery.schedules import crontab
from celery.task import periodic_task
#periodic_task(
name='UPDATE_USER',
run_every=crontab(
minute='1',
hour='1,4,7,10,13,16,19,22'))
def update_user():
#get some value from api
Module.objects.filter(user_id=1).update(
field_one=value, field_two=value, field_three=value)
All settings for django you can look in celery docs