amazon web services - EMR Spark working in a java main, but not in a java function -


i wonder why work : 

public final class javasparkpi {  public static void main(string[] args) throws exception {      sparkconf sparkconf = new sparkconf().setmaster("yarn-cluster").setappname("mysparkapp");     javasparkcontext jsc = new javasparkcontext(sparkconf);         arraylist<integer> list = new arraylist<>();         for(int = 0; < 10 ; i++){             list.add(i);         }          javardd<integer> dataset = jsc.parallelize(list)                 .map(s->2*s)                 .map(s->5*s);          int weirdstuff= dataset.reduce((a, b) -> (a + b)/2);         system.out.println("stuff " + weirdstuff);         jsc.stop();       } }

and why not : 

public final class javasparkpi {      private void startworkingonmicrospark() {     sparkconf sparkconf = new sparkconf().setmaster("yarn-cluster").setappname("mysparkapp");     javasparkcontext jsc = new javasparkcontext(sparkconf);         arraylist<integer> list = new arraylist<>();         for(int = 0; < 10 ; i++){             list.add(i);         }          javardd<integer> dataset = jsc.parallelize(list)                 .map(s->2*s)                 .map(s->5*s);          int weirdstuff = dataset.reduce((a, b) -> (a + b)/2);         system.out.println("weirdstuff " + weirdstuff);         jsc.stop();          } public static void main(string[] args) throws exception {      javasparkpi jsp = new javasparkpi();     jsp.startworkingonmicrospark();  }    }

i'm working on spark emr. difference found between 2 project fact 1 have spark part written in main , other not. launched both of them spark app in emr --class javasparkpi argument.

here failing statut : 

statut :failed  raison :  fichier journal :s3://mynewbucket/logs/j-3akszxk7fkmx6/steps/s-2mt0sb910u3te/stderr.gz  détails:exception in thread "main" org.apache.spark.sparkexception: application application_1501228129826_0003 finished failed status  emplacement jar : command-runner.jar  classe principale : aucun  arguments : spark-submit --deploy-mode cluster --class javasparkpi s3://mynewbucket/code/sparkaws.jar  action sur échec : continuer

and there successful 1 : 

emplacement jar : command-runner.jar classe principale : aucun arguments : spark-submit --deploy-mode cluster --class javasparkpi  s3://mynewbucket/code/sparkaws.jar action sur échec : continuer

put spark initialization methods main.

sparkconf sparkconf = new sparkconf().setmaster("yarn-cluster").setappname("mysparkapp"); javasparkcontext jsc = new javasparkcontext(sparkconf);


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