[jira] [Comment Edited] (KAFKA-4281) Should be able to forward aggregation values immediately

["Matthias J. Sax (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KAFKA-4281?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16251742#comment-16251742 ] 

Matthias J. Sax edited comment on KAFKA-4281 at 11/14/17 5:08 PM:
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[~gfodor] Can you confirm that your feature request is covered. If yes, would you mind to close your PR and close this ticket? Thx.


was (Author: mjsax):
[~gfodor] Can you confirm that your feature request is covered. If yes, please close your PR and resolve this.

> Should be able to forward aggregation values immediately
> --------------------------------------------------------
>
>                 Key: KAFKA-4281
>                 URL: https://issues.apache.org/jira/browse/KAFKA-4281
>             Project: Kafka
>          Issue Type: Bug
>          Components: streams
>    Affects Versions: 0.10.1.0
>            Reporter: Greg Fodor
>            Assignee: Greg Fodor
>
> KIP-63 introduced changes to the behavior of aggregations such that the result of aggregations will not appear to subsequent processors until a state store flush occurs. This is problematic for latency sensitive aggregations since flushes occur generally at commit.interval.ms, which is usually a few seconds. Combined with several aggregations, this can result in several seconds of latency through a topology for steps dependent upon aggregations.
> Two potential solutions:
> - Allow finer control over the state store flushing intervals
> - Allow users to change the behavior so that certain aggregations will immediately forward records to the next step (as was the case pre-KIP-63)
> A PR is attached that takes the second approach. To add this unfortunately a large number of files needed to be touched, and this effectively doubles the number of method signatures around grouping on KTable and KStream. I tried an alternative approach that let the user opt-in to immediate forwarding via an additional builder method on KGroupedStream/Table but this didn't work as expected because in order for the latency to go away, the KTableImpl itself must also mark its source as forward immediate (otherwise we will still see latency due to the materialization of the KTableSource still relying upon state store flushes to propagate.)



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