Django Channels - WebSocket Connection Drops on Heavy Load
I keep running into I'm currently implementing a chat feature in my Django application using Django Channels... Everything works fine for a small number of simultaneous users, but as soon as I try to connect around 50 users, I start seeing WebSocket connection drops with the following behavior message in the console: ``` WebSocket connection to 'ws://localhost:8000/ws/chat/room_name/' failed: behavior during WebSocket handshake: Unexpected response code: 500 ``` I've set up the Channels layer with Redis for handling real-time messages, and I'm using Django 3.2 and Channels 3.0. My routing and consumer code looks like this: ```python # routing.py from django.urls import path from . import consumers websocket_urlpatterns = [ path('ws/chat/<str:room_name>/', consumers.ChatConsumer.as_asgi()), ] ``` ```python # consumers.py import json from channels.generic.websocket import AsyncWebsocketConsumer class ChatConsumer(AsyncWebsocketConsumer): async def connect(self): self.room_name = self.scope['url_route']['kwargs']['room_name'] self.room_group_name = f'chat_{self.room_name}' await self.channel_layer.group_add( self.room_group_name, self.channel_name ) await self.accept() async def disconnect(self, close_code): await self.channel_layer.group_discard( self.room_group_name, self.channel_name ) async def receive(self, text_data): text_data_json = json.loads(text_data) message = text_data_json['message'] await self.channel_layer.group_send( self.room_group_name, { 'type': 'chat_message', 'message': message } ) async def chat_message(self, event): message = event['message'] await self.send(text_data=json.dumps({ 'message': message })) ``` I've verified that Redis is running and accessible, but when the load increases, the server logs show sporadic errors regarding the Redis connection, such as: ``` behavior: Redis connection behavior: ConnectionRefusedError('behavior 111 connecting to localhost:6379. Connection refused.') ``` I suspect that the scenario might be related to connection limits or incorrect configuration related to handling concurrency. I've tried increasing the `CONN_MAX_AGE` setting in my database settings and ensuring Redis has enough memory allocated, but the question continues. Any advice on how to handle this situation effectively would be appreciated. I recently upgraded to Python latest. I'm coming from a different tech stack and learning Python. I appreciate any insights!