How can I efficiently paginate a large queryset in Django without hitting memory limits?
I'm sure I'm missing something obvious here, but I'm working on a Django project using Django 4.0, and I'm working with issues with memory when trying to paginate through a large queryset that returns thousands of records. I need to serve this data through a RESTful API, but I'm running into performance bottlenecks when I use the built-in `Paginator` class. For instance, fetching pages with `Paginator` causes the server to use excessive memory and eventually leads to a `MemoryError` for larger pages. I've tried using `values_list` to retrieve only the necessary fields, but it doesn't seem to make a important difference. Here's a snippet of how I'm currently implementing pagination: ```python from django.core.paginator import Paginator from myapp.models import MyModel # Fetching all entries - this leads to high memory usage queryset = MyModel.objects.all() # Setting up paginator paginator = Paginator(queryset, 100) # 100 items per page # Accessing a specific page page_number = self.request.GET.get('page') page_obj = paginator.get_page(page_number) ``` When I test this, I notice the server's memory spikes significantly. Is there a more efficient way to paginate large datasets in Django? I'm considering using `iterator()` or `chunked()` but I'm not sure how to implement them correctly with pagination. Any guidance would be greatly appreciated, along with examples if possible. This is part of a larger application I'm building.