Multiple clients can send and receive data via websocket and django channels orchestrates this intercommunication example a group chat with simultaneously clients accessing at the same time. Think of this as 2 way duplex communication that happens asynchronously No browser refreshing. Django channels gives to Django the ability to handle more than just plain HTTP requests, including Websockets and HTTP2.I think the question is more on, how django channels background processing is different from celery workers. Django channels does support background processing.We cannot do anything outside the restrictions of that model.Channels came about to allow Web Socket support and building complex applications around Web Sockets, so that we can send multiple messages, manage sessions, etc. The standard model Django uses is Request-Response but that has significant limitations.In Django are meant for asynchronous handling of requests.Channels in Django is for WebSocket, long-poll HTTP.How are Django channels different than celery? Django-Q and Django-RQ both just use standard Python logging which I preferred for my use case.Ī Django extension for the popular RQ (Redis Queue) python libraryĪll of the above may become irrelevant in the future when Django implements full view-based support for async code.Celery has it’s own logging functionality which is imported and appears to work just fine.Ī task queue, scheduler and worker application designed specifically for Django.use decorators with the task so all your async imports and logic are within the tasks.py file.
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