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spark:using-scala [2018/11/24 22:42]
straka [Usage Examples] 		spark:using-scala [2022/12/14 13:02]
straka [Usage Examples]
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 Consider the following simple script computing 10 most frequent words of Czech Wikipedia: Consider the following simple script computing 10 most frequent words of Czech Wikipedia:
 <file scala> <file scala>
-(sc.textFile("/net/projects/spark-example-data/wiki-cs", 3*sc.defaultParallelism)+(sc.textFile("/lnet/troja/data/npfl118/wiki/cs/wiki.txt", 3*sc.defaultParallelism)
    .flatMap(_.split("\\s"))    .flatMap(_.split("\\s"))
    .map((_,1)).reduceByKey(_+_)    .map((_,1)).reduceByKey(_+_)
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 </file> </file>
  
-  * run interactive shell using existing Spark cluster (i.e., inside ''spark-qrsh''), or start local Spark cluster using as many threads as there are cores if there is none:+  * run interactive shell using existing Spark cluster (i.e., inside ''spark-srun''), or start local Spark cluster using as many threads as there are cores if there is none:
   <file>spark-shell</file>   <file>spark-shell</file>
   * run interactive shell with local Spark cluster using one thread:   * run interactive shell with local Spark cluster using one thread:
   <file>MASTER=local spark-shell</file>   <file>MASTER=local spark-shell</file>
-  * start Spark cluster (10 machines, 1GB RAM each) on SGE and run interactive shell: +  * start Spark cluster (10 machines, 2GB RAM each) via Slurm and run interactive shell: 
-  <file>spark-qrsh 10 1G spark-shell</file>+  <file>spark-srun 10 2G spark-shell</file>
  
  

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