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spark:using-scala [2015/07/27 18:46]
straka
spark:using-scala [2017/10/16 21:23]
ufal [Usage Examples]
Line 72: Line 72:
 version := "1.0" version := "1.0"
  
-scalaVersion := "2.10.4"+scalaVersion := "2.11.8"
  
-libraryDependencies += "org.apache.spark" %% "spark-core" % "1.4.1"+libraryDependencies += "org.apache.spark" %% "spark-core" % "2.1.1"
 </file> </file>
  
Line 81: Line 81:
  
   * run ''word_count'' application inside existing Spark cluster (i.e., inside ''spark-qsub'' or ''spark-qrsh''), 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-qsub'' or ''spark-qrsh''), or start local Spark cluster using as many threads as there are cores if there is none:
-  <file>spark-submit target/scala-2.10/word_count_2.10-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>+  <file>spark-submit target/scala-2.11/word_count_2.11-1.0.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-2.10/word_count_2.10-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>+  <file>MASTER=local spark-submit target/scala-2.11/word_count_2.11-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>
   * start Spark cluster (10 machines, 1GB RAM each) on SGE and run ''word_count'' application:   * start Spark cluster (10 machines, 1GB RAM each) on SGE and run ''word_count'' application:
-  <file>spark-qsub 10 1G spark-submit target/scala-2.10/word_count_2.10-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>+  <file>spark-qsub 10 1G spark-submit target/scala-2.11/word_count_2.11-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file>
  

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