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From "Bauss, Julian" <Julian.Ba...@bonprix.net>
Subject AW: Time To Live-Setting for State/StateDescriptor
Date Thu, 01 Dec 2016 13:17:24 GMT
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<mailto:julian.bauss@gmail.com>>
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

          .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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