Performance: Async ORM operations
Async ORM operations affect how quickly data queries complete without blocking the main thread, improving interaction responsiveness.
Jump into concepts and practice - no test required
async def get_users(): users = [user async for user in User.objects.all()] return users # Called in async view with await
def get_users(): users = User.objects.all() return users # Called in async view synchronously
| Pattern | DOM Operations | Reflows | Paint Cost | Verdict |
|---|---|---|---|---|
| Synchronous ORM calls in async views | Minimal | 0 | 0 | [X] Bad |
| Async ORM calls with await | Minimal | 0 | 0 | [OK] Good |
await before the query method returning an awaitable.await Model.objects.all(). objects = Model.objects.all().await() misplaces await. objects = await Model.objects.all().aget() wrongly chains .aget() after all(). objects = Model.objects.all() is synchronous.async def get_usernames():
users = await User.objects.filter(is_active=True).values_list('username', flat=True)
return list(users)get_usernames() return?is_active=True. The values_list with flat=True returns usernames as a list-like object.await fetches the filtered usernames asynchronously. Converting to list returns a list of usernames of active users.async def get_first_post():
post = Post.objects.filter(published=True).first()
return postfirst() is a synchronous method and blocks if used inside async function without await.await Post.objects.filter(...).afirst() to fetch first object asynchronously.aupdate() for asynchronous bulk updates, which must be awaited.await with aupdate(). User.objects.filter(is_active=False).update(is_active=True) is synchronous. await User.objects.filter(is_active=False).update(is_active=True) uses synchronous update() with await, which is invalid. User.objects.filter(is_active=False).aupdate(is_active=True) misses await.