You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@flink.apache.org by Titus Rakkesh <ti...@gmail.com> on 2018/07/16 10:14:09 UTC

Flink WindowedStream - Need assistance

Dear All,

We have 2 independent streams which will receive elements in different
frequency,

DataStream<Tuple3<String, Integer, Double>> splittedActivationTuple;

DataStream<Tuple2<String, Double>> unionReloadsStream;

We have a requirement to keep "splittedActivationTuple" stream elements in
a Window of eviction time period of 24 hours. So I created a
"WindowedStream" like below,

WindowedStream<Tuple3<String, Integer, Double>, Tuple, GlobalWindow>
keyedWindowedActStream = splittedActivationTuple
            .assignTimestampsAndWatermarks(new
IngestionTimeExtractor()).keyBy(0).window(GlobalWindows.create())
            .evictor(TimeEvictor.of(Time.of(24, TimeUnit.HOURS)));

Our requirements are following,

   1.

   When "unionReloadsStream" receives data, we need to check whether the
   corresponding "String" field matches with the "String" field in the
   WindowedStream and accumulate "WindowedStream's" Double with
   "unionReloadsStream" Double.Will this possible with Flink? I checked
   CoGroup and CoMap. But I couldn't figure out how to do since I am new.
   2.

   CEP functionality to create a new Stream of from WindowedStream if the
   Double value > 100? I went through several flink's CEP tutorials. But
   couldn't able to figure out how to do with "WindowedStream"?

I am very new to flink. Any assistance would be highly appreciated.

Thanks,

Titus

Re: Flink WindowedStream - Need assistance

Posted by Timo Walther <tw...@apache.org>.
Hi Titus,

have you looked into ProcessFunction? ProcessFunction[1] gives you 
access to the two important streaming primitives "time" and "state".

So in your case you can decide flexibly what you want to put into state 
and when you want to set and fire a timer (for clean-up) per key.

Regards,
Timo

[1] 
https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/stream/operators/process_function.html


Am 17.07.18 um 11:39 schrieb Titus Rakkesh:
> Friends, any assistance regarding this?
>
>
> On Mon, Jul 16, 2018 at 3:44 PM, Titus Rakkesh <ti...@gmail.com>
> wrote:
>
>> Dear All,
>>
>> We have 2 independent streams which will receive elements in different
>> frequency,
>>
>> DataStream<Tuple3<String, Integer, Double>> splittedActivationTuple;
>>
>> DataStream<Tuple2<String, Double>> unionReloadsStream;
>>
>> We have a requirement to keep "splittedActivationTuple" stream elements in
>> a Window of eviction time period of 24 hours. So I created a
>> "WindowedStream" like below,
>>
>> WindowedStream<Tuple3<String, Integer, Double>, Tuple, GlobalWindow> keyedWindowedActStream = splittedActivationTuple
>>              .assignTimestampsAndWatermarks(new IngestionTimeExtractor()).keyBy(0).window(GlobalWindows.create())
>>              .evictor(TimeEvictor.of(Time.of(24, TimeUnit.HOURS)));
>>
>> Our requirements are following,
>>
>>     1.
>>
>>     When "unionReloadsStream" receives data, we need to check whether the
>>     corresponding "String" field matches with the "String" field in the
>>     WindowedStream and accumulate "WindowedStream's" Double with
>>     "unionReloadsStream" Double.Will this possible with Flink? I checked
>>     CoGroup and CoMap. But I couldn't figure out how to do since I am new.
>>     2.
>>
>>     CEP functionality to create a new Stream of from WindowedStream if the
>>     Double value > 100? I went through several flink's CEP tutorials. But
>>     couldn't able to figure out how to do with "WindowedStream"?
>>
>> I am very new to flink. Any assistance would be highly appreciated.
>>
>> Thanks,
>>
>> Titus
>>

Re: Flink WindowedStream - Need assistance

Posted by Titus Rakkesh <ti...@gmail.com>.
Friends, any assistance regarding this?


On Mon, Jul 16, 2018 at 3:44 PM, Titus Rakkesh <ti...@gmail.com>
wrote:

> Dear All,
>
> We have 2 independent streams which will receive elements in different
> frequency,
>
> DataStream<Tuple3<String, Integer, Double>> splittedActivationTuple;
>
> DataStream<Tuple2<String, Double>> unionReloadsStream;
>
> We have a requirement to keep "splittedActivationTuple" stream elements in
> a Window of eviction time period of 24 hours. So I created a
> "WindowedStream" like below,
>
> WindowedStream<Tuple3<String, Integer, Double>, Tuple, GlobalWindow> keyedWindowedActStream = splittedActivationTuple
>             .assignTimestampsAndWatermarks(new IngestionTimeExtractor()).keyBy(0).window(GlobalWindows.create())
>             .evictor(TimeEvictor.of(Time.of(24, TimeUnit.HOURS)));
>
> Our requirements are following,
>
>    1.
>
>    When "unionReloadsStream" receives data, we need to check whether the
>    corresponding "String" field matches with the "String" field in the
>    WindowedStream and accumulate "WindowedStream's" Double with
>    "unionReloadsStream" Double.Will this possible with Flink? I checked
>    CoGroup and CoMap. But I couldn't figure out how to do since I am new.
>    2.
>
>    CEP functionality to create a new Stream of from WindowedStream if the
>    Double value > 100? I went through several flink's CEP tutorials. But
>    couldn't able to figure out how to do with "WindowedStream"?
>
> I am very new to flink. Any assistance would be highly appreciated.
>
> Thanks,
>
> Titus
>