TCP Socket Connection Reset by Peer scenarios on High Load in Python 3.10 with SocketServer
Quick question that's been bugging me - I've been struggling with this for a few days now and could really use some help. I'm working with a `ConnectionResetError: [Errno 104] Connection reset by peer` when my Python 3.10 application using `socketserver` handles a high volume of incoming TCP connections. The server is designed to process multiple requests using threads, and during peak times, it seems to drop connections unexpectedly. I've set up a simple TCP server using `socketserver.TCPServer` and have a custom request handler that processes incoming data. Here’s a snippet of my server code: ```python import socketserver class MyRequestHandler(socketserver.BaseRequestHandler): def handle(self): data = self.request.recv(1024) # Simulate processing time time.sleep(0.1) self.request.sendall(data) if __name__ == '__main__': with socketserver.ThreadingTCPServer(('localhost', 9999), MyRequestHandler) as server: server.serve_forever() ``` I've tried increasing the backlog in the TCP server to accommodate more incoming connections, but the behavior continues. Additionally, I have verified that my network settings allow for a sufficient number of simultaneous connections. During testing, I used a simple client to send requests in rapid succession: ```python import socket import time for _ in range(100): with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect(('localhost', 9999)) s.sendall(b'Hello, World!') response = s.recv(1024) print(response) time.sleep(0.01) ``` I noticed that the behavior occurs when I try to exceed roughly 80 concurrent requests, which leads me to believe there might be some resource limits being hit. I checked the `ulimit -n` setting on my macOS machine, and it shows 256, but still, I experience the scenario. Is there a way to handle a higher load without a connection reset, or am I missing any configuration options? Any insights on debugging this would be appreciated! What would be the recommended way to handle this? I've been using Python for about a year now. Could this be a known issue?