Hi Aljoscha,


thanks for your reply.

It seems like 1.2 will be a very awesome release.

I’m looking forward to it :)


Best Regards,



Von: Aljoscha Krettek [mailto:aljoscha@apache.org]
Gesendet: Donnerstag, 1. Dezember 2016 12:41
An: user@flink.apache.org
Betreff: Re: Time To Live-Setting for State/StateDescriptor


Hi Julian,

we're aware of the issue (https://issues.apache.org/jira/browse/FLINK-3946) but unfortunately it's not implemented yet. I recently added ProcessFunction which is somewhat similar to a flatmap but also allows setting timers. This can be used to set a TTL timer and then call clear() on the state when the timer fires. This will be release in Flink 1.2.





On Wed, 30 Nov 2016 at 17:13 Julian Bauß <julian.bauss@gmail.com> wrote:

Hi everybody,


does Flink offer any automated TTL-functionality for operator state?

My current solution for deleting state after some time is using a SessionWindow which triggers after a timeout and sends messages to stateful operators which then call the clear() method on their state.


This is my solution in pseudocode:


sessionEndNotifications = dataStream.window(EventTimeSessionWindows.withGap(Time.hours(1)).apply(new StateInvalidatorFunction).keyBy(...);



          .flatMap(new StatefulFlatMapFunction())



The StatefulFlatMapFunction calls state.clear() in its flatMap2 function when it receives a sessionEndNotification. The flatMap1 function contains the actual business logic which is being calculated per event.


I feel like I'm doing this in a roundabout way. Are there better ways of doing this?


Best Regards,




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