I a react front-end, django backend (used as REST back). I've inherited the app, and it loads all the user data using many Models and Serializes. It loads very slow. It uses a filter to query for a single member, then passes that to a Serializer:
found_account = Accounts.objects.get(id='customer_id')
AccountDetailsSerializer(member, context={'request': request}).data
Then there are so many various nested Serializers:
AccountDetailsSerializers(serializers.ModelSerializer):
Invoices = InvoiceSerializer(many=True)
Orders = OrderSerializer(many=True)
....
From looking at the log, looks like the ORM issues so many queries, it's crazy, for some endpoints we end up with like 50 - 60 queries.
Should I attempt to look into using select_related and prefetch or would you skip all of that and just try to write one sql query to do multiple joins and fetch all the data at once as json?
How can I define the prefetch / select_related when I pass in a single object (result of get), and not a queryset to the serializer?
Some db entities don't have links between them, meaning not fk or manytomany relationships, just hold a field that has an id to another, but the relationship is not enforced in the database? Will this be an issue for me? Does it mean once more that I should skip the select_related approach and write a customer sql for fetching?
How would you suggest to approach performance tuning this nightmare of queries?
Accountat a time (as implied by the code) or several (with repeatedget()queries)?getwith afilter(...)[0], you end up with the same object, but you can implement any prefetches or preselects. But this is not much different from Jens's proposed approach.