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38 lines
2.0 KiB
ReStructuredText
Executable File
Scaling
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Of course, one of the downsides of introducing a channel layer to Django it
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that it's something else that must scale. Scaling traditional Django as a
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WSGI application is easy - you just add more servers and a loadbalancer. Your
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database is likely to be the thing that stopped scaling before, and there's
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a relatively large amount of knowledge about tackling that problem.
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By comparison, there's not as much knowledge about scaling something like this
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(though as it is very similar to a task queue, we have some work to build from).
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In particular, the fact that messages are at-most-once - we do not guarantee
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delivery, in the same way a webserver doesn't guarantee a response - means
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we can loosen a lot of restrictions that slow down more traditional task queues.
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In addition, because channels can only have single consumers and they're handled
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by a fleet of workers all running the same code, we could easily split out
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incoming work by sharding into separate clusters of channel backends
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and worker servers - any cluster can handle any request, so we can just
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loadbalance over them.
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Of course, that doesn't work for interface servers, where only a single
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particular server is listening to each response channel - if we broke things
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into clusters, it might end up that a response is sent on a different cluster
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to the one that the interface server is listening on.
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That's why Channels labels any *response channel* with a leading ``!``, letting
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you know that only one server is listening for it, and thus letting you scale
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and shard the two different types of channels accordingly (for more on
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the difference, see :ref:`channel-types`).
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This is the underlying theory behind Channels' sharding model - normal channels
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are sent to random Redis servers, while response channels are sent to a
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predictable server that both the interface server and worker can derive.
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Currently, sharding is implemented as part of the Redis backend only;
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see the :doc:`backend documentation <backends>` for more information.
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