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https://issues.apache.org/jira/browse/KAFKA-6560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Guozhang Wang resolved KAFKA-6560.
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Resolution: Fixed
Fix Version/s: 1.2.0
> Use single-point queries than range queries for windowed aggregation operators
> ------------------------------------------------------------------------------
>
> Key: KAFKA-6560
> URL: https://issues.apache.org/jira/browse/KAFKA-6560
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Guozhang Wang
> Assignee: Guozhang Wang
> Priority: Critical
> Labels: needs-kip
> Fix For: 1.2.0
>
>
> Today for windowed aggregations in Streams DSL, the underlying implementation
> is leveraging the fetch(key, from, to) API to get all the related windows for
> a single record to update. However, this is a very inefficient operation with
> significant amount of CPU time iterating over window stores. On the other
> hand, since the operator implementation itself have full knowledge of the
> window specs it can actually translate this operation into multiple
> single-point queries with the accurate window start timestamp, which would
> largely reduce the overhead.
> The proposed approach is to add a single fetch API to the WindowedStore and
> use that in the KStreamWindowedAggregate / KStreamWindowedReduce operators.
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