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 <m...@clearstorydata.com> 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 <georg.kf.hei...@gmail.com 
> <mailto:georg.kf.hei...@gmail.com>> 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 
> <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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