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From Meghashyam Sandeep V <vr1meghash...@gmail.com>
Subject Re: benchmarking flink streaming
Date Wed, 25 Jan 2017 18:17:30 GMT
Hi Stephan,

Thats great to hear. We are using EMR which is still on Flink 1.1.3. I'll
use the latency markers when Flink on EMR is upgraded.

Thanks,
Sandeep

On Wed, Jan 25, 2017 at 9:08 AM, Dominik Safaric <dominiksafaric@gmail.com>
wrote:

> Hi Stephan,
>
> As I’m already familiar with the latency markers of Flink 1.2, there is
> one question that bothers me in regard to them - how does Flink measure
> end-to-end latency when dealing with e.g. aggregations?
>
> Suppose you have a topology ingesting data from Kafka, and you want to
> output frequency per key. In this case, the sink is just given tuples of
> (key: String, frequency: Int).
>
> On 25 Jan 2017, at 16:11, Stephan Ewen <sewen@apache.org> wrote:
>
> Hi!
>
> There are new latency metrics in Flink 1.2 that you can use. They are
> sampled, so not on every record.
>
> You can always attach your own timestamps, in order to measure the latency
> of specific records.
>
> Stephan
>
>
> On Fri, Dec 16, 2016 at 5:02 PM, Meghashyam Sandeep V <
> vr1meghashyam@gmail.com> wrote:
>
>> Hi Stephan,
>>
>> Thanks for your answer. Is there a way to get the metrics such as latency
>> of each message in the stream? For eg. I have a Kafka source, Cassandra
>>  sink and I do some processing in between. I would like to know how long
>> does it take for each message from the beginning(entering flink streaming
>> from kafka) to end(sending/executing the query).
>>
>> On Fri, Dec 16, 2016 at 7:36 AM, Stephan Ewen <sewen@apache.org> wrote:
>>
>>> Hi!
>>>
>>> I am not sure there exists a recommended benchmarking tool. Performance
>>> comparisons depend heavily on the scenarios you are looking at: Simple
>>> event processing, shuffles (grouping aggregation), joins, small state,
>>> large state, etc...
>>>
>>> As fas as I know, most people try to write a "mock" version of a job
>>> that is representative for the jobs they want to run, and test with that.
>>>
>>> That said, I agree that it would actually be helpful to collect some
>>> jobs in a form of "evaluation suite".
>>>
>>> Stephan
>>>
>>>
>>>
>>> On Thu, Dec 15, 2016 at 6:11 PM, Meghashyam Sandeep V <
>>> vr1meghashyam@gmail.com> wrote:
>>>
>>>> Hi There,
>>>>
>>>> We are evaluating Flink streaming for real time data analysis. I have
>>>> my flink job running in EMR with Yarn. What are the possible benchmarking
>>>> tools that work best with Flink? I couldn't find this information in the
>>>> Apache website.
>>>>
>>>> Thanks,
>>>> Sandeep
>>>>
>>>
>>>
>>
>
>

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