Guozhang Wang created KAFKA-6560:
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Summary: 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
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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