Hi Taher,

To understand your use case, you have something like the following:

stream1.keyBy(…)
        .connect(stream2.keyBy(…))
        .window(…).apply(MyWindowFunction)

and you want from within the MyWindowFunction to access the state for a FIRED 
window when a late element arrives for that key and window?

In this case, it depends what you want to do. 

First of all, with allowed lateness = 0, after the outofOrderness expires, then 
the state is no longer there, so you cannot access it.

If you set the allowedLateness to > 0, then the state will be there until the 
allowed lateness expires (see [1]), but in order to help with your use case,
it would help if you shared a bit more details about it. The reason is that 
form within the MyWindowFunction, and depending on if 
you use apply() or reduce() or aggregate() or if you use an evictor, there are 
specific things that you can do, and things that you cannot do.

Finally, for more control you may need to have a look at the CoProcessFunction 
in [2].

I hope this helps,
Kostas

[1] 
https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/windows.html
 
<https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/windows.html>
[2] 
https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/process_function.html
 
<https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/process_function.html>

> On Sep 17, 2018, at 3:15 PM, Taher Koitawala <[email protected]> 
> wrote:
> 
> Hi All,
>          As per my knowledge, all windowing operators in flink are stateful. 
> So let's say I have 2 streams, Stream1 and Stream2.
> 
> Stream1 and Stream2 are aggregated over some key and which is then windowed 
> on EventTime. So record X from Stream1 reaches flink on time, however, record 
> X' from Stream2 reaches after maxOutOfOrderness time has passed. In this 
> scenario as per my knowledge. X will be maintained in the flink state. 
> However, when X' comes, how do I do a lookup for X from the flink state and 
> carry on the further aggregation or whatever I want to do.
> 
> 
> 
> Regards,
> Taher Koitawala
> GS Lab Pune
> +91 8407979163

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