[jira] [Closed] (FLINK-11186) Event-time balancing for multiple Kafka partitions

["Aljoscha Krettek (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-11186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aljoscha Krettek closed FLINK-11186.
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    Resolution: Duplicate

> Event-time balancing for multiple Kafka partitions
> --------------------------------------------------
>
>                 Key: FLINK-11186
>                 URL: https://issues.apache.org/jira/browse/FLINK-11186
>             Project: Flink
>          Issue Type: New Feature
>          Components: API / DataStream, Connectors / Kafka
>            Reporter: Tom Schamberger
>            Priority: Major
>
> Currently, it is not possible with Flink to back-pressure individual Kafka partitions, which are faster in terms of event-time. This leads to unnecessary memory consumption and can lead to deadlocks in the case of back-pressure.
> When multiple Kafka topics are consumed, succeeding event-time window operators have to wait until the last Kafka partition has produced a sufficient watermark to be triggered. If individual Kafka partitions differ in read performance or the event-time of messages within partitions is not monotonically distributed, this can lead to a situation, where 'fast' partitions (event-time makes fast progress) outperform slower partitions until back-pressuring prevents all partitions from being further consumed. This leads to a deadlock of the application.
> I suggest, that windows should be able to back-pressure individual partitions, which progress faster in terms of event-time, so that slow partitions can keep up.



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