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spark:using-scala [2022/12/14 13:05]
straka [Usage Examples] 		spark:using-scala [2024/09/27 09:21] (current)
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("/lnet/troja/data/npfl118/wiki/cs/wiki.txt", 3*sc.defaultParallelism)+(sc.textFile("/net/projects/spark-example-data/wiki-cs", 3*sc.defaultParallelism)
    .flatMap(_.split("\\s"))    .flatMap(_.split("\\s"))
    .map((_,1)).reduceByKey(_+_)    .map((_,1)).reduceByKey(_+_)
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 version := "1.0" version := "1.0"
  
-scalaVersion := "2.12.17"+scalaVersion := "2.12.20"
    
-libraryDependencies += "org.apache.spark" %% "spark-core" % "3.3.1"+libraryDependencies += "org.apache.spark" %% "spark-core" % "3.5.3"
 </file> </file>
  
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   * run ''word_count'' application inside existing Spark cluster (i.e., inside ''spark-sbatch'' or ''spark-srun''), or start local Spark cluster using as many threads as there are cores if there is none:   * run ''word_count'' application inside existing Spark cluster (i.e., inside ''spark-sbatch'' or ''spark-srun''), or start local Spark cluster using as many threads as there are cores if there is none:
-  <file>spark-submit target/scala-2.12/word_count_2.12-1.0.jar /lnet/troja/data/npfl118/wiki/cs/wiki.txt outdir</file>+  <file>spark-submit target/scala-2.12/word_count_2.12-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>
   * run ''word_count'' application with local Spark cluster using one thread:   * run ''word_count'' application with local Spark cluster using one thread:
-  <file>MASTER=local spark-submit target/scala-2.12/word_count_2.12-1.0.jar /lnet/troja/data/npfl118/wiki/cs/wiki.txt outdir</file> +  <file>MASTER=local spark-submit target/scala-2.12/word_count_2.12-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file> 
-  * start Spark cluster (10 machines, 2GB RAM each) on SGE and run ''word_count'' application: +  * start Spark cluster (10 machines, 2GB RAM each) on Slurm and run ''word_count'' application: 
-  <file>spark-sbatch 10 2G spark-submit target/scala-2.12/word_count_2.12-1.0.jar /lnet/troja/data/npfl118/wiki/cs/wiki.txt outdir</file>+  <file>spark-sbatch 10 2G spark-submit target/scala-2.12/word_count_2.12-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>
  

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