[
https://issues.apache.org/jira/browse/KAFKA-8770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16940802#comment-16940802
]
Di Campo commented on KAFKA-8770:
---------------------------------
This comes from the following use case:
Relation between pageview and session are sent down to a separate topic (i.e.
to which session this pageview corresponds to, as a {{(pageviewId, sessionId)}}
). As more pageviews are added to the session, they are sent to (in a
{{sessionStore.toStream.flatMap}} fashion, where pageview ids are kept in the
aggregator).
The relation of a pageview with its session may change, whether because of a
session merge, a session cut by custom logic, etc.
But most times it is the same sessionId value, so I want to have a first value
rightaway to have near-realtime associations, but lower the traffic that is
sent by unnecessary updates.
> Either switch to or add an option for emit-on-change
> ----------------------------------------------------
>
> Key: KAFKA-8770
> URL: https://issues.apache.org/jira/browse/KAFKA-8770
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: John Roesler
> Priority: Major
> Labels: needs-kip
>
> Currently, Streams offers two emission models:
> * emit-on-window-close: (using Suppression)
> * emit-on-update: (i.e., emit a new result whenever a new record is
> processed, regardless of whether the result has changed)
> There is also an option to drop some intermediate results, either using
> caching or suppression.
> However, there is no support for emit-on-change, in which results would be
> forwarded only if the result has changed. This has been reported to be
> extremely valuable as a performance optimizations for some high-traffic
> applications, and it reduces the computational burden both internally for
> downstream Streams operations, as well as for external systems that consume
> the results, and currently have to deal with a lot of "no-op" changes.
> It would be pretty straightforward to implement this, by loading the prior
> results before a stateful operation and comparing with the new result before
> persisting or forwarding. In many cases, we load the prior result anyway, so
> it may not be a significant performance impact either.
> One design challenge is what to do with timestamps. If we get one record at
> time 1 that produces a result, and then another at time 2 that produces a
> no-op, what should be the timestamp of the result, 1 or 2? emit-on-change
> would require us to say 1.
> Clearly, we'd need to do some serious benchmarks to evaluate any potential
> implementation of emit-on-change.
> Another design challenge is to decide if we should just automatically provide
> emit-on-change for stateful operators, or if it should be configurable.
> Configuration increases complexity, so unless the performance impact is high,
> we may just want to change the emission model without a configuration.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
