What are the limitations of using Django ORM with async?
Django ORM has several limitations when used with async, such as blocking calls and lack of native async support.
Can you explain what blocking calls mean in this context?
Blocking calls are operations that prevent other tasks from executing until they complete, which can hinder async performance.
Are there any workarounds to use Django ORM asynchronously?
Yes, you can use libraries like asgiref
or database
to manage async database operations more effectively.
Is it better to use raw SQL for async operations instead?
Using raw SQL can be more efficient for async operations, but it sacrifices some of the ORM's benefits like abstraction and safety.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free