Django QuerySet Caching guide with Complex Aggregations in Django 3.2
This might be a silly question, but I'm stuck on something that should probably be simple..... I'm sure I'm missing something obvious here, but I'm working with an scenario with Django's QuerySet caching when performing complex aggregations. I have a model called `Order` that tracks purchases, and I want to calculate the total revenue grouped by day. The query I am using is as follows: ```python from django.db.models import Sum, DateField from django.db.models.functions import TruncDate # Query to aggregate total revenue by day revenue_by_day = (Order.objects.annotate( day=TruncDate('created_at') ).values('day').annotate( total_revenue=Sum('amount') ).order_by('day')) ``` This works fine when I call it the first time, but when I call it again, it returns the same results without hitting the database again, which makes sense due to Django's QuerySet caching. However, I need to ensure the results are updated whenever new `Order` objects are created throughout the day. To troubleshoot, I've tried using `QuerySet.refresh_from_db()` and `QuerySet.iterator()` to force the query to hit the database, but it's still caching the results. I also attempted to use `QuerySet.explain()` to check the SQL generated, and it showed that the query was using a cached result. I even considered using `.all().delete()` on the QuerySet to see if that would clear the cache, but it didn't work either. I'm not sure how to handle this situation effectively, especially since my application needs real-time data for daily reports. Has anyone dealt with this before? Any insights or solutions would be greatly appreciated! My development environment is macOS. How would you solve this? This is part of a larger web app I'm building. Is there a better approach? For context: I'm using Python on Windows. I'd really appreciate any guidance on this. Is there a better approach?