👀 Views: 24 💬 Answers: 1 📅 Created: 2025-06-04

django queryset postgreSQL bulk-update Python

I'm having trouble with I'm wondering if anyone has experience with After trying multiple solutions online, I still can't figure this out... I'm working with an scenario in my Django application where a QuerySet appears to cache stale data after I perform a bulk update on my model instances. I'm using Django 3.2 and PostgreSQL. After conducting a bulk update with the `update()` method, I expect my subsequent queries to reflect the updated state of the database. However, it seems that the QuerySet retains the old values until the server is restarted or the QuerySet is re-evaluated. Here's a simplified version of what I'm doing: ```python from myapp.models import MyModel # Bulk update some records MyModel.objects.filter(condition=True).update(field='new_value') # Attempt to retrieve updated records updated_records = MyModel.objects.filter(condition=True) print(list(updated_records)) # This prints old values instead of 'new_value' ``` I have tried refreshing the QuerySet by calling `refresh_from_db()` on individual objects after the update, but this is not practical for a bulk operation. I also verified that the database records were actually updated by checking with a direct SQL query. The behavior seems to point towards some caching scenario, but I need to pinpoint the cause. Is there a specific way to ensure that my QuerySet reflects the latest data after a bulk update without resorting to server restarts or re-evaluating the entire QuerySet? If there are any settings or Django features I might be overlooking that affect QuerySet caching or loading, I would appreciate the guidance. I'm working on a application that needs to handle this. What am I doing wrong? For context: I'm using Python on Ubuntu 22.04. What's the best practice here? This is for a application running on Windows 11. I'm developing on Linux with Python. Thanks for your help in advance! For reference, this is a production desktop app. Thanks for your help in advance! Is there a simpler solution I'm overlooking? The stack includes Python and several other technologies.