on long running Flink cluster?
>>>
>>> I will be very grateful for an answer:)
>>>
>>> Best regards,
>>> Filip
>>>
>>> Pozdrawiam,
>>> Filip Łęczycki
>>>
>>> 2016-01-04 10:05 GMT+01:00 Till Rohrmann :
>&g
) for a single job ran on long running Flink cluster?
>>
>> I will be very grateful for an answer:)
>>
>> Best regards,
>> Filip
>>
>> Pozdrawiam,
>> Filip Łęczycki
>>
>> 2016-01-04 10:05 GMT+01:00 Till Rohrmann :
>>
>>> Hi Fil
r:)
>
> Best regards,
> Filip
>
> Pozdrawiam,
> Filip Łęczycki
>
> 2016-01-04 10:05 GMT+01:00 Till Rohrmann :
>
>> Hi Filip,
>>
>> at the moment it is not possible to retrieve the job statistics after the
>> job has finished with flink run -m ya
zycki
2016-01-04 10:05 GMT+01:00 Till Rohrmann :
> Hi Filip,
>
> at the moment it is not possible to retrieve the job statistics after the
> job has finished with flink run -m yarn-cluster. The reason is that the
> YARN cluster is only alive as long as the job is executed. Thus, I woul
Hi Filip,
at the moment it is not possible to retrieve the job statistics after the
job has finished with flink run -m yarn-cluster. The reason is that the
YARN cluster is only alive as long as the job is executed. Thus, I would
recommend you to execute your jobs with a long running Flink cluster
Hi all,
I am running filnk aps on YARN cluster and I am trying to get some
benchmarks. When I start a long-running flink cluster on my YARN cluster I
have an access to web UI and rest API that provide me statistics of the
deployed jobs (as desribed here:
https://ci.apache.org/projects/flink/flink-
>>>>
>>>> 2015-06-18 10:45 GMT-03:00 Maximilian Michels :
>>>>
>>>>> Hi Jean,
>>>>>
>>>>> I think it would be a nice to have feature to display some metrics on
>>>>> the command line after a job has c
;> and the accumulator results available at the CLI and printing those would
>>>> be easy. What metrics in particular are you looking for?
>>>>
>>>> Best,
>>>> Max
>>>>
>>>> On Thu, Jun 18, 2015 at 3:41 PM, Jean Bez
>>>
>>>
>>> Best,
>>> Max
>>>
>>> On Thu, Jun 18, 2015 at 3:41 PM, Jean Bez wrote:
>>>
>>>> Hi Fabian,
>>>>
>>>> I am trying to compare some examples on Hadoop, Spark and Flink. If
>>>> possible I wo
already have the run time and
>> the accumulator results available at the CLI and printing those would be
>> easy. What metrics in particular are you looking for?
>>
>> Best,
>> Max
>>
>> On Thu, Jun 18, 2015 at 3:41 PM, Jean Bez wrote:
>>
>>>
, Jean Bez wrote:
>
>> Hi Fabian,
>>
>> I am trying to compare some examples on Hadoop, Spark and Flink. If
>> possible I would like to see the job statistics like the report given by
>> Hadoop. Since I am running these examples on a large cluster it would be
&g
Thu, Jun 18, 2015 at 3:41 PM, Jean Bez wrote:
> Hi Fabian,
>
> I am trying to compare some examples on Hadoop, Spark and Flink. If
> possible I would like to see the job statistics like the report given by
> Hadoop. Since I am running these examples on a large cluster it would be
&
Hi Fabian,
I am trying to compare some examples on Hadoop, Spark and Flink. If
possible I would like to see the job statistics like the report given by
Hadoop. Since I am running these examples on a large cluster it would be
much better if I could obtain such data directly from the console
Hi Jean,
what kind of job execution stats are you interested in?
Cheers, Fabian
2015-06-18 9:01 GMT+02:00 Matthias J. Sax :
> Hi,
>
> the CLI cannot show any job statistics. However, you can use the
> JobManager web interface that is accessible at port 8081 from a browser.
&
Hi,
the CLI cannot show any job statistics. However, you can use the
JobManager web interface that is accessible at port 8081 from a browser.
-Matthias
On 06/17/2015 10:13 PM, Jean Bez wrote:
> Hello,
>
> Is it possible to view job statistics after it finished to execute
> dir
Hello,
Is it possible to view job statistics after it finished to execute directly
in the command line? If so, could you please explain how? I could not find
any mentions about this in the docs. I also tried to set the logs to debug
mode, but no other information was presented.
Thank you
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