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https://issues.apache.org/jira/browse/KAFKA-13152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17399173#comment-17399173
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Sagar Rao commented on KAFKA-13152:
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[~guozhang], I was looking at this. One question i have is, what do you mean by
introducing a global config? Is is at a StreamTask level or above?
Also, in case the buffered records exceeds the config, what actions should we
take? Should we for example, pause all consumers subscribed the the current
StreamTask if the config is at a StreamTask level?
> Replace "buffered.records.per.partition" with "input.buffer.max.bytes"
> -----------------------------------------------------------------------
>
> Key: KAFKA-13152
> URL: https://issues.apache.org/jira/browse/KAFKA-13152
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Guozhang Wang
> Assignee: Sagar Rao
> Priority: Major
> Labels: needs-kip
>
> The current config "buffered.records.per.partition" controls how many records
> in maximum to bookkeep, and hence it is exceed we would pause fetching from
> this partition. However this config has two issues:
> * It's a per-partition config, so the total memory consumed is dependent on
> the dynamic number of partitions assigned.
> * Record size could vary from case to case.
> And hence it's hard to bound the memory usage for this buffering. We should
> consider deprecating that config with a global, e.g. "input.buffer.max.bytes"
> which controls how much bytes in total is allowed to be buffered. This is
> doable since we buffer the raw records in <byte[], byte[]>.
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