Mastering Django ORM Update Queries — From Basics to Pro Level

Updating data properly is just as important as selecting data. In this guide, you will learn how to update records correctly in Django ORM — from basic .save() usage to pro techniques like atomic updates, bulk updates, F expressions, and best practices! 📚 1. Basic Update Using .save() Fetch and modify a single object user = NewUser.objects.get(pk=1) user.email = 'newemail@example.com' user.save() ⚡ 2. Updating Specific Fields with .save(update_fields=[...]) user = NewUser.objects.get(pk=1) user.email = 'newemail@example.com' user.save(update_fields=['email']) 🎯 3. Updating Multiple Records at Once Using .update() NewUser.objects.filter(user_type=2).update(is_active=False) 🧠 4. .save() vs .update() — Key Differences Aspect .save() .update() Works on Single object QuerySet (multiple) Triggers signals? ✅ Yes ❌ No Auto-updates auto_now fields? ✅ Yes ❌ No Custom logic inside save() runs? ✅ Yes ❌ No Speed for bulk ❌ Slow ✅ Fast 🔥 5. Upda...
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Leveraging Asynchronous Views in Django REST Framework for High-Performance APIs

As web applications grow, handling a high volume of concurrent requests becomes essential. Traditional Django views, which are synchronous, can slow down the system by tying up resources for each request. Fortunately, starting with Django 3.1, asynchronous views were introduced. By leveraging async views, Django can serve more requests concurrently, improving scalability and responsiveness.

Understanding Asynchronous Views in Django

Asynchronous views allow Django to handle tasks that involve waiting, like database queries or API calls, without blocking threads. This approach allows the server to handle additional requests in the meantime. In Django, async views use the async and await keywords to enable non-blocking behavior.

Example: Fetching Data from an External API

Here’s an example of an asynchronous view in Django that fetches weather data from an external API. Instead of blocking while waiting for the API response, Django can handle other requests.


from django.http import JsonResponse
from rest_framework.views import APIView
import aiohttp

class WeatherView(APIView):
    async def get(self, request):
        city = request.query_params.get("city", "London")
        url = f"https://api.weatherapi.com/v1/current.json?key=YOUR_API_KEY&q={city}"

        async with aiohttp.ClientSession() as session:
            async with session.get(url) as response:
                data = await response.json()
                return JsonResponse(data)

How Async Requests Work with Postman

1. Making the Request

When Postman sends a request, Django receives it and uses await to pause the view while waiting for the API response, allowing other requests to be handled concurrently.

2. Handling the Response

Once the data is ready, Django resumes the paused thread, processes the response, and sends it back to Postman without losing the connection.

Conclusion

By using asynchronous views in Django, you can make your web applications more efficient and scalable. Asynchronous views allow Django to handle more concurrent requests without extra server resources, making them ideal for modern high-traffic applications.

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