Thanks for the clarification.
Matei Zaharia [via Apache Spark Developers List] <
ml+s1001551n21526...@n3.nabble.com> schrieb am Mo. 8. Mai 2017 um 03:51:

> More specifically, many user applications that link to Spark also linked
> to Akka as a library (e.g. say you want to write a service that receives
> requests from Akka and runs them on Spark). In that case, you'd have two
> conflicting versions of the Akka library in the same JVM.
>
> Matei
>
> On May 7, 2017, at 2:24 PM, Mark Hamstra <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=21526&i=0>> wrote:
>
> The point is that Spark's prior usage of Akka was limited enough that it
> could fairly easily be removed entirely instead of forcing particular
> architectural decisions on Spark's users.
>
>
> On Sun, May 7, 2017 at 1:14 PM, geoHeil <[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=21526&i=1>> wrote:
>
>> Thank you!
>> In the issue they outline that hard wired dependencies were the problem.
>> But wouldn't one want to not directly accept the messages from an actor
>> but have Kafka as an failsafe intermediary?
>>
>> zero323 [via Apache Spark Developers List] <[hidden email]
>> <http://user/SendEmail.jtp?type=node&node=21524&i=0>> schrieb am So., 7.
>> Mai 2017 um 21:17 Uhr:
>>
>>> https://issues.apache.org/jira/browse/SPARK-5293
>>>
>>>
>>> On 05/07/2017 08:59 PM, geoHeil wrote:
>>>
>>> > Hi,
>>> >
>>> > I am curious why spark (with 2.0 completely) removed any akka
>>> dependencies
>>> > for RPC and switched entirely to (as far as I know natty)
>>> >
>>> > regards,
>>> > Georg
>>> >
>>> >
>>> >
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