Thank you for sharing Nicolau!

-Endre

On Mon, Apr 27, 2015 at 12:16 AM, Nicolau Werneck <[email protected]>
wrote:

> Greetings. I wanted to share with you our open source project we called
> 'akka-mapreduce' for the lack of a better name. We are developing a small
> Map/Reduce framework using Akka in Scala.
>     https://github.com/projetoeureka/akka-mapreduce
>
> The idea is to run map-reduce jobs keeping the aggregated output in memory
> all the way to the end. It is a more lightweight alternative to Spark,
> Storm or Hadoop Streaming directed to ad-hoc data processing problems.
>
> When your data is too big you have to read it iteratively, and that makes
> the problem unsuitable for things like Scala parallel collections.
> Akka-mapreduce attempts to be a better fit for those situations when, while
> you can't load the input to the memory all at once, it is small enough to
> be processed by a monolithic application in a single multi-core machine.
>
> We have developed a reducer component with a "decimator" actor that allows
> us to know that all the data has been processed. We are also creating a
> builder class that lets you define a processing pipeline like this
>
> val pipeline = pipe_mapkv {
>   row: String => row split raw"\s+"
> } times 4 map {
>   word => Some(KeyVal(word.trim.toLowerCase, 1))
> } times 4 reduce (_ + _) times 8 output self
>
> We started the project for our own purposes, but we thought it might be of
> interest to someone else, and decided to publish it. It is still a very
> young project, so there are many rough edges and things are changing very
> fast, but we would love to hear some feedback from the community.
>
> There appears to be a lot of Akka map-reduce examples out there on the
> Internet, but few of them are in Scala, and even fewer offer a really good
> solution to properly reading the data and to figure out that processing has
> ended. We are not sure the framework will be adopted by anyone, but it
> might have a couple of ideas that can be borrowed by your individual
> projects.
>
> Cheers,
>     ++nic
>
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-- 
Akka Team
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>>>>>>>>>>      Check the FAQ: 
>>>>>>>>>> http://doc.akka.io/docs/akka/current/additional/faq.html
>>>>>>>>>>      Search the archives: https://groups.google.com/group/akka-user
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