i never found much info that flink was actually designed to be fault
tolerant. if fault tolerance is more bolt-on/add-on/afterthought then that
doesn't bode well for large scale data processing. spark was designed with
fault tolerance in mind from the beginning.

On Sun, Apr 17, 2016 at 9:52 AM, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:

> Hi,
>
> I read the benchmark published by Yahoo. Obviously they already use Storm
> and inevitably very familiar with that tool. To start with although these
> benchmarks were somehow interesting IMO, it lend itself to an assurance
> that the tool chosen for their platform is still the best choice. So
> inevitably the benchmarks and the tests were done to support primary their
> approach.
>
> In general anything which is not done through TCP Council or similar body
> is questionable..
> Their argument is that because Spark handles data streaming in micro
> batches then inevitably it introduces this in-built latency as per design.
> In contrast, both Storm and Flink do not (at the face value) have this
> issue.
>
> In addition as we already know Spark has far more capabilities compared to
> Flink (know nothing about Storm). So really it boils down to the business
> SLA to choose which tool one wants to deploy for your use case. IMO Spark
> micro batching approach is probably OK for 99% of use cases. If we had in
> built libraries for CEP for Spark (I am searching for it), I would not
> bother with Flink.
>
> HTH
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn * 
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
>
> On 17 April 2016 at 12:47, Ovidiu-Cristian MARCU <
> ovidiu-cristian.ma...@inria.fr> wrote:
>
>> You probably read this benchmark at Yahoo, any comments from Spark?
>>
>> https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at
>>
>>
>> On 17 Apr 2016, at 12:41, andy petrella <andy.petre...@gmail.com> wrote:
>>
>> Just adding one thing to the mix: `that the latency for streaming data is
>> eliminated` is insane :-D
>>
>> On Sun, Apr 17, 2016 at 12:19 PM Mich Talebzadeh <
>> mich.talebza...@gmail.com> wrote:
>>
>>>  It seems that Flink argues that the latency for streaming data is
>>> eliminated whereas with Spark RDD there is this latency.
>>>
>>> I noticed that Flink does not support interactive shell much like Spark
>>> shell where you can add jars to it to do kafka testing. The advice was to
>>> add the streaming Kafka jar file to CLASSPATH but that does not work.
>>>
>>> Most Flink documentation also rather sparce with the usual example of
>>> word count which is not exactly what you want.
>>>
>>> Anyway I will have a look at it further. I have a Spark Scala streaming
>>> Kafka program that works fine in Spark and I want to recode it using Scala
>>> for Flink with Kafka but have difficulty importing and testing libraries.
>>>
>>> Cheers
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
>>> LinkedIn * 
>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>>
>>> On 17 April 2016 at 02:41, Ascot Moss <ascot.m...@gmail.com> wrote:
>>>
>>>> I compared both last month, seems to me that Flink's MLLib is not yet
>>>> ready.
>>>>
>>>> On Sun, Apr 17, 2016 at 12:23 AM, Mich Talebzadeh <
>>>> mich.talebza...@gmail.com> wrote:
>>>>
>>>>> Thanks Ted. I was wondering if someone is using both :)
>>>>>
>>>>> Dr Mich Talebzadeh
>>>>>
>>>>>
>>>>> LinkedIn * 
>>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>
>>>>>
>>>>> http://talebzadehmich.wordpress.com
>>>>>
>>>>>
>>>>>
>>>>> On 16 April 2016 at 17:08, Ted Yu <yuzhih...@gmail.com> wrote:
>>>>>
>>>>>> Looks like this question is more relevant on flink mailing list :-)
>>>>>>
>>>>>> On Sat, Apr 16, 2016 at 8:52 AM, Mich Talebzadeh <
>>>>>> mich.talebza...@gmail.com> wrote:
>>>>>>
>>>>>>> Hi,
>>>>>>>
>>>>>>> Has anyone used Apache Flink instead of Spark by any chance
>>>>>>>
>>>>>>> I am interested in its set of libraries for Complex Event Processing.
>>>>>>>
>>>>>>> Frankly I don't know if it offers far more than Spark offers.
>>>>>>>
>>>>>>> Thanks
>>>>>>>
>>>>>>> Dr Mich Talebzadeh
>>>>>>>
>>>>>>>
>>>>>>> LinkedIn * 
>>>>>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>>>>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>>>>>
>>>>>>>
>>>>>>> http://talebzadehmich.wordpress.com
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>> --
>> andy
>>
>>
>>
>

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