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Create Remote implementations of Gateway, RequestHandler and DataCache that can comminucate rate limits between multiple Kord processes.
Goals
Make it viable for one bot token to be used over multiple Kord processes by:
syncing gateway send ratelimits
syncing gateway indentify ratelimits
syncing rest ratelimits
syncing cache data
Non-Goals
This issue does not intend to alter existing code (unless necessary), the implementation of this feature should be its own module.
Motivation
Kord technically supports multiprocess applications, but there is no support for the above goals. While this is a setup that won't be applicable for most users, it is something we should support if we wish to call Kord feature complete.
Description
Kord allows a single process to only run a subset of the suggested/required shards, but there is no support for the syncing of resources between these separate processes. This feature request intends to implement the needed parts to make this scenario relatively hassle-free.
The approach suggested is to create a RemoteGatewayClient, RemoteRequestHandlerClient, RemoteDataCacheClient and RemoteRateLimiterClient and their respective RemoteXServer variants, where clients will, based on a stream protocol, communicate the needed information with each other to remain in sync.
For everything but the DataCache, this would simply involve requesting and updating ratelimits with the server, requesting when the next action can be executed, notifying the consumption of tokens and information related like bucket rate limits. The DataCache however would require the ability to store and fetch complex data structures.
Conceptually, we're looking for something like rsocket to implement the protocol layer, although the requirement on netty, rxjava and other jvm-only libraries would mean that we'd have to find another implementation for our eventual move to multiplatform. We could simple write our own protocols on top of ktor, but the work needed for this might be out of scope. This issue will be expanded upon once we have found a suitable protocol layer.
Summary
Create
Remote
implementations ofGateway
,RequestHandler
andDataCache
that can comminucate rate limits between multiple Kord processes.Goals
Make it viable for one bot token to be used over multiple Kord processes by:
Non-Goals
This issue does not intend to alter existing code (unless necessary), the implementation of this feature should be its own module.
Motivation
Kord technically supports multiprocess applications, but there is no support for the above goals. While this is a setup that won't be applicable for most users, it is something we should support if we wish to call Kord feature complete.
Description
Kord allows a single process to only run a subset of the suggested/required shards, but there is no support for the syncing of resources between these separate processes. This feature request intends to implement the needed parts to make this scenario relatively hassle-free.
The approach suggested is to create a
RemoteGatewayClient
,RemoteRequestHandlerClient
,RemoteDataCacheClient
andRemoteRateLimiterClient
and their respectiveRemoteXServer
variants, where clients will, based on a stream protocol, communicate the needed information with each other to remain in sync.For everything but the DataCache, this would simply involve requesting and updating ratelimits with the server, requesting when the next action can be executed, notifying the consumption of tokens and information related like bucket rate limits. The
DataCache
however would require the ability to store and fetch complex data structures.Conceptually, we're looking for something like rsocket to implement the protocol layer, although the requirement on netty, rxjava and other jvm-only libraries would mean that we'd have to find another implementation for our eventual move to multiplatform. We could simple write our own protocols on top of ktor, but the work needed for this might be out of scope. This issue will be expanded upon once we have found a suitable protocol layer.
Issue originally made by @BartArys
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