@AkkaTeam, thank you very much, seems like a weekend reading :). I will get 
back based on my progress/questions.

Thank you

On Thursday, May 7, 2015 at 11:55:01 PM UTC-7, Akka Team wrote:
>
> Hi Harit,
>
> You should try akka streams: 
> http://doc.akka.io/docs/akka-stream-and-http-experimental/1.0-RC2/
>
> It has all you need. 
>
> There are also activator tutorials: 
> http://www.typesafe.com/activator/template/akka-stream-java8
> http://www.typesafe.com/activator/template/akka-stream-scala
>
> -Endre
>
>
> On Fri, May 8, 2015 at 2:23 AM, Harit Himanshu <harit.sub...@gmail.com 
> <javascript:>> wrote:
>
>> Hello 
>>
>> This is what my use case looks like 
>>
>> *Use Case*
>>
>> - Given many log files in range (2MB - 2GB), I need to parse each of 
>> these logs and apply some processing, generate Java POJO.
>> - For this problem, lets assume that we have just 1 log file
>> - Also, the idea is to making best use of System. Multiple cores are 
>> available.
>>
>> *Alternative 1*
>> - Open file (synchronous), read each line, generate POJOs
>>
>> FileActor -> read each line -> List<POJO>  
>>
>> *Pros*: simple to understand
>> *Cons*: Serial Process, not taking advantage of multiple cores in the 
>> system
>>
>> *Alternative 2*
>> - Open File (synchronous), read N lines (N is configurable), pass on to 
>> different actors to process
>>
>>                                                     / LogLineProcessActor 
>> 1FileActor -> LogLineProcessRouter (with 10 Actors) -- LogLineProcessActor 2
>>                                                     \ LogLineProcessActor 10
>>
>> *Pros* Some parallelization, by using different actors to process part 
>> of lines. Actors will make use of available cores in the system (? how, may 
>> be?)
>> *Cons* Still Serial, because file read in serial fashion
>>
>> *Questions*
>> - is any of the above choice a good choice?
>> - Are there better alternatives?
>>
>> Please provide valuable thoughts here
>>
>> Thanks a lot
>>
>> -- 
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>
>
>
> -- 
> Akka Team
> Typesafe - Reactive apps on the JVM
> Blog: letitcrash.com
> Twitter: @akkateam
>  

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