How can I improve the performance of my FastAPI application using async features?
An example of an AI chatbot conversation about optimizing FastAPI with async for better performance.
How can I improve the performance of my FastAPI application using async features?
You can enhance performance by using async functions for I/O-bound operations, which allows for better concurrency.
Can you give me an example of using async with a database call?
Sure! You can use async libraries like databases or SQLAlchemy with async support to perform non-blocking database queries.
What are some common pitfalls when using async in FastAPI?
Common pitfalls include blocking calls in async functions, not using await properly, and mixing sync and async code.
How do I test async endpoints in FastAPI?
You can use pytest along with httpx to test async endpoints by making async requests in your test cases.
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