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From Ashish Attarde <ashish.atta...@gmail.com>
Subject Re: Hi Flink Team
Date Thu, 01 Mar 2018 09:55:03 GMT
Thanks Piotrek for your response. Teena responsed for same. I am
implementing changes to try it out.

Yes, Originally I did call keyBy for same reason so that I can parallelize
the operation.

On Thu, Mar 1, 2018 at 1:24 AM, Piotr Nowojski <piotr@data-artisans.com>
wrote:

> Hi,
>
> timeWindowAll is a non parallel operation, since it gathers all of the
> elements and process them together:
>
> https://ci.apache.org/projects/flink/flink-docs-release-1.4/api/java/org/
> apache/flink/streaming/api/datastream/DataStream.html#
> timeWindowAll-org.apache.flink.streaming.api.windowing.
> time.Time-org.apache.flink.streaming.api.windowing.time.Time-
>
> Note that it’s defined in DataStream, not in the KeyedStream.
>
> In your keyBy example keyBy() is just a NoOp. Didn’t you mean to use
> KeyedStream#timeWindows method?
>
> Piotrek
>
> On 1 Mar 2018, at 09:21, Ashish Attarde <ashish.attarde@gmail.com> wrote:
>
> Hi,
>
> I am new to Flink and in general data processing using stream processors.
>
> I am using flink to do real time correlation between multiple records
> which are coming as part of same stream. I am doing is "apply" operation on
> TimeWindowed stream. When I submit job with parallelism factor of 4, I am
> still seeing apply operation is applied with parallelism factor of 1.
>
> Here is the peice of code :
>
> parsedInput.keyBy("mflowHash")
>         .timeWindowAll(Time.milliseconds(1000),Time.milliseconds(200))
>         .allowedLateness(Time.seconds(10))
>         .apply(new CRWindow());
>
>
> I am trying to correlate 2 streams, what is the right way to do it? I
> tried the CEP library and experienced the worst performance. It is taking
> ~4 minutes to do the correlation. The corelation logic is very simple and
> not compute intensive.
>
>
> --
>
> Thanks
> -Ashish Attarde
>
>
>
> --
>
> Thanks
> -Ashish Attarde
>
>
>


-- 

Thanks
-Ashish Attarde

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