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What to do if there is a blocking synchronous I/O operation in an asynchronous application (FastAPI)?
sobes.tech AI
Answer from AI
In FastAPI, which is based on asyncio, blocking synchronous I/O operations can block the entire event loop, leading to reduced performance and delays.
To solve this problem, you can:
- Offload the blocking operation to a separate thread or process using
run_in_executor:
import asyncio
from fastapi import FastAPI
app = FastAPI()
def blocking_io():
# For example, reading from a file or making a database request without async
import time
time.sleep(5)
return "done"
@app.get("/blocking")
async def read_blocking():
loop = asyncio.get_running_loop()
result = await loop.run_in_executor(None, blocking_io)
return {"result": result}
-
Use asynchronous libraries for I/O if available (for example,
httpxinstead ofrequests,databasesinstead of synchronous database drivers). -
If the operation is very heavy, consider offloading it to a separate microservice or a queued task.
Thus, the blocking operation will not interfere with processing other requests.