Random Socket Closure During Data Transfer in Python 3.9 with Asyncio
I'm wondering if anyone has experience with I'm integrating two systems and I'm deploying to production and I'm working with an scenario where my TCP socket connection randomly closes during data transfer while using asyncio in Python 3.9. I've set up a simple echo server and client, and while it works for small data packets, when I try to send larger data (over 1 MB), I sometimes receive a `ConnectionResetError: [Errno 104] Connection reset by peer`. This seems to happen inconsistently, often after multiple successful sends. Here’s a simplified version of my server code: ```python import asyncio async def handle_client(reader, writer): while True: data = await reader.read(1024) if not data: break # Client disconnected writer.write(data) await writer.drain() writer.close() async def main(): server = await asyncio.start_server(handle_client, '127.0.0.1', 8888) async with server: await server.serve_forever() asyncio.run(main()) ``` And here’s my client code: ```python import asyncio import os async def send_data(data): reader, writer = await asyncio.open_connection('127.0.0.1', 8888) writer.write(data) await writer.drain() response = await reader.read(len(data)) # Echo expected print('Received:', response) writer.close() async def main(): data = os.urandom(1024 * 1024) # 1 MB of random data await send_data(data) asyncio.run(main()) ``` I’ve tried adjusting the size of the data being sent, as well as looking into the TCP settings on my system, but these don’t seem to solve the question. Additionally, I verified that there are no firewall rules blocking connections, and my server is properly handling multiple connections. Is there something I might be overlooking regarding the handling of larger packets or TCP buffering in asyncio? Could it be related to the way I'm draining the writer? Any insights would be greatly appreciated. This issue appeared after updating to Python 3.11. What would be the recommended way to handle this? For reference, this is a production web app. Could this be a known issue? My team is using Python for this service. What would be the recommended way to handle this?