Hi All
Based on my code reading, I have following understanding of the Metrics
and Accumulators.
1. Accumulators for a Flink JOB work like global counters. They are
designed so that accumulator values from different instances of Execution
Vertex can be combined. They are essentially
ld be a good solution.
>
> Cheers,
> Aljoscha
>
> On Wed, 21 Sep 2016 at 21:15 Chawla,Sumit <sumitkcha...@gmail.com> wrote:
>
> > Hi Sean
> >
> > My goal here is to get User Accumulators. I know there exists the REST
> > Calls. But since i am runnin
he execution graph is not easily possible, and not intended, as it
> actually contains RPC resources, etc.
>
> What do you need from the execution graph? Maybe there is another way to
> achieve that...
>
> On Wed, Sep 21, 2016 at 8:08 PM, Chawla,Sumit <sumitkcha...@gmail.com&
Regards,
> Chesnay
>
>
> On 21.09.2016 06:11, Chawla,Sumit wrote:
>
>> Hi All
>>
>>
>> I am trying to get JOB accumulators. ( I am aware that I can get the
>> accumulators through REST APIs as well, but i wanted to avoid JSON
>> parsing).
>>
Hi All
I am trying to get JOB accumulators. ( I am aware that I can get the
accumulators through REST APIs as well, but i wanted to avoid JSON
parsing).
Looking at JobAccumulatorsHandler i am trying to get execution graph for
currently running job. Following is my code:
InetSocketAddress
Has anyone else run these kind of benchmarks? Would love to hear more
people'e experience and details about those benchmarks.
Regards
Sumit Chawla
On Sun, Sep 18, 2016 at 2:01 PM, Chawla,Sumit <sumitkcha...@gmail.com>
wrote:
> Hi Amir
>
> Would it be possible for you to sh
e-stream-processing-with-apache-flink/
> [2] 12/2015:
> https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-
> computation-engines-at
> [3] 02/2016:
> http://data-artisans.com/extending-the-yahoo-streaming-benchmark/
>
>
> 2016-09-16 5:54 GMT+02:00 Chawla,
Hi
Is there any performance run that is done for each Flink release? Or you
are aware of any third party evaluation of performance metrics for Flink?
I am interested in seeing how performance has improved over release to
release, and performance vs other competitors.
Regards
Sumit Chawla
