-
-
Notifications
You must be signed in to change notification settings - Fork 74
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Suppress functionality #70
Comments
You seems mentionned this feature ? : KTable<String, String> table = builder.table("topic");
table.suppress(...); It's planned on my roadmap, not in future release 1.2.0, but surely in 1.3.0 release. |
@LGouellec do you think it is possible to add this functionality in the next release if it is implemented till that time? |
@agayev169 to finish next release, I miss this PR. |
Great! |
@agayev169 @LGouellec is there any progress/plan to add this functionality? |
Hi @yornstei , I updated the compare list, https://github.com/LGouellec/kafka-streams-dotnet/tree/1.4#compare-kafka-streams-vs-streamiz For now, the suppress(..) processor is not present in any roadmap. Do you have any workaround regarding this feature ? Best regards, |
@LGouellec thanks for the reply. I'd like to emit an event if within a specific window a status is updated more than x amount of times for a particular key, and only get notified at the end of the window. It seems like the suppress functionality is build for this and I cannot think of an elegant way to accomplish this without it. Any idea how to go about this without suppress? Thanks for your help! |
Unfortunately no for now. You have the Best regards, |
I will reopen this issue and track the up-vote for |
Hi @LGouellec , How`s roadmap looking so far ? :) when can we expect 1.7.0 ? |
@oroiandan193, |
Is there a workaround for this? I would like to wait until all the events for a window have arrived, then perform some aggregation and emit one result, once, at the watermark (end of the window + configured lateness tolerance). |
Hi @tvergilio , Today, the only workaround is to implement your own processors but it's not so easy ! |
I agree, it is not straightforward. Looking forward to the next release, this is a powerful feature which could enable more advanced aggregation and stream processing abstractions. Thanks for the quick reply. |
I was looking for the suppression over table functionality as in the Java version of Kafka Streams. Is it planned to be added in the future?
The text was updated successfully, but these errors were encountered: