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Make produce and fetch purgatory shared by all connections - #901
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BewareMyPower merged 2 commits intoNov 14, 2021
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Demogorgon314
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### Motivation Currently each connections holds two `DelayedOperationPurgatory` (purgatory) objects for produce and fetch requests. It's a waste of resources because each purgatory is backed by a time wheel and a reaper thread. In Kafka, these purgatories are held by a `ReplicaManager` instance, which is a global instance shared by all connections. ### Modifications Move `producePurgatory` and `fetchPurgatory` into `KafkaProtocolHandler`, and pass them to the constructors of `KafkaChannelInitializer` and `KafkaRequestHandler`. And move the `shutdown` calls from `KafkaRequestHandler#close` to `KafkaProtocolHandler#close`.
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BewareMyPower
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BewareMyPower
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### Motivation Currently each connections holds two `DelayedOperationPurgatory` (purgatory) objects for produce and fetch requests. It's a waste of resources because each purgatory is backed by a time wheel and a reaper thread. In Kafka, these purgatories are held by a `ReplicaManager` instance, which is a global instance shared by all connections. ### Modifications Move `producePurgatory` and `fetchPurgatory` into `KafkaProtocolHandler`, and pass them to the constructors of `KafkaChannelInitializer` and `KafkaRequestHandler`. And move the `shutdown` calls from `KafkaRequestHandler#close` to `KafkaProtocolHandler#close`.
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Instead of opening a new PR, I pushed a commit (29440e1) to migrate the necessary changes. |
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Motivation
Currently each connections holds two
DelayedOperationPurgatory(purgatory) objects for produce and fetch requests. It's a waste of resources because each purgatory is backed by a time wheel and a reaper thread. In Kafka, these purgatories are held by aReplicaManagerinstance, which is a global instance shared by all connections.Modifications
Move
producePurgatoryandfetchPurgatoryintoKafkaProtocolHandler, and pass them to the constructors ofKafkaChannelInitializerandKafkaRequestHandler. And move theshutdowncalls fromKafkaRequestHandler#closetoKafkaProtocolHandler#close.