I am working on a Django application that uses Django Rest Framework to expose APIs. I am experiencing significant performance issues when serializing large data in Django Rest Framework. I have an endpoint that returns a list of objects e.g. 1000 records. The response is slow and taking around 5-6 seconds. This is not acceptable for the user experience.
Environment Details:
App Engine Runtime: Python 3.9, Django Version: 2.2.28, Django REST Framework Version: 3.12.4 Database : Datastore (NDB)
For example, I have a Test model that has nearly 40 fields. When fetching a list of objects , the response time is about 5-6 seconds which is too slow for my use case.
Here's the relevant code:
Query:
return self.ndb_class.all(
namespace=self.get_namespace(), ancestor=ancestor_key
)
Code snippet:
queryset = self.filter_queryset(self.get_queryset())
page = self.paginate_queryset(queryset)
if page is not None:
self.get_related_data(page)
serializer = self.get_serializer(page, many=True)
return self.get_paginated_response(serializer.data)
serializer = self.get_serializer(queryset, many=True)
results = {'results': serializer.data}
return Response(results)
Profiling Toolbar shows that the query time isn't the issue, but the serialization step seems to be slow. And because of that, I have tested other serialization libraries, including those suggested in online references (such as DRF Serpy, Pydantic, Marshmallow, etc.), but I have not been able to reduce the serialization time to 1 second. It still takes approximately 5+ seconds, more or less.
Any solutions or tips on how to further optimize this or debug the bottleneck would be appreciated!
发布者：admin，转转请注明出处：http://www.yc00.com/questions/1745622609a4636612.html
评论列表（0条）