Thanks for releasing this, I personally had to re-invent such functionality 
over clojure-hadoop 

Did you happen to test this over AWS EMR?


On Monday, November 4, 2013 3:55:23 PM UTC+2, Marshall Bockrath-Vandegrift 
wrote:
>
> I’m pleased to announce the first public release of Parkour, a library 
> for writing Hadoop MapReduce applications in idiomatic Clojure.  Parkour 
> takes your Clojure code’s functional gymnastics and sends it 
> free-running across the urban environment of your Hadoop cluster. 
>
>     https://github.com/damballa/parkour/ 
>
> Parkour aims to provide deep Clojure integration for Hadoop.  Programs 
> using Parkour are normal Clojure programs, using standard Clojure 
> functions instead of new framework abstractions.  Programs using Parkour 
> are also full Hadoop programs, with complete access to absolutely 
> everything possible in raw Java Hadoop MapReduce.  If you know Clojure, 
> and you know Hadoop, then you’re most of the way to knowing Parkour. 
>
> Here is the core of the obligatory “word count” MapReduce program, 
> written using Parkour: 
>
>     (defn mapper 
>       [conf] 
>       (fn [context input] 
>         (->> (mr/vals input) 
>              (r/mapcat #(str/split % #"\s+")) 
>              (r/map #(-> [% 1]))))) 
>     
>     (defn reducer 
>       [conf] 
>       (fn [context input] 
>         (->> (mr/keyvalgroups input) 
>              (r/map (fn [[word counts]] 
>                       [word (r/reduce + 0 counts)]))))) 
>     
>     (defn word-count 
>       [dseq dsink] 
>       (-> (pg/input dseq) 
>           (pg/map #'mapper) 
>           (pg/partition [Text LongWritable]) 
>           (pg/combine #'reducer) 
>           (pg/reduce #'reducer) 
>           (pg/output dsink))) 
>
> Parkour includes detailed documentation, ranging from a quickstart 
> introduction through detailed discussions of several specific aspects: 
>
>     https://github.com/damballa/parkour/#documentation 
>
> Although this is the first public release of Parkour, the Damballa R&D 
> team has been using it extensively since beginning serious development 
> earlier this year.  We do also use and will continue to use Cascalog, 
> but we’ve found that Parkour’s simpler model and more direct Hadoop 
> integration is a better fit for many problems. 
>
> I am personally incredibly excited about this release.  I will be at 
> this year’s Clojure/conj, and will be more than happy to discuss Parkour 
> in detail with those interested. 
>
> Questions and pull requests welcome! 
>
> -- 
> Marshall Bockrath-Vandegrift <lla...@damballa.com <javascript:>> 
> Principal Software Engineer, Damballa R&D 
>
>

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