[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki

[ Back to the navigation ]

You are here: start » spark » using-scala

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
spark:using-scala [2015/07/27 18:46]
straka 		spark:using-scala [2024/09/27 09:21] (current)
straka [Usage Examples]
Line 20: Line 20:
 </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>
  
  
Line 42: Line 42:
   - replace the ''spark-template'' by your project name in the first line (i.e., ''name := "my-best-project"'')   - replace the ''spark-template'' by your project name in the first line (i.e., ''name := "my-best-project"'')
   - run ''sbt package'' to create JAR (note that first run of ''sbt'' will take several minutes)   - run ''sbt package'' to create JAR (note that first run of ''sbt'' will take several minutes)
-The resulting JAR can be found in ''target/scala-2.10'' subdirectory, named after your project.+The resulting JAR can be found in ''target/scala-2.11'' subdirectory, named after your project.
  
 ==== Usage Examples ==== ==== Usage Examples ====
Line 72: Line 72:
 version := "1.0" version := "1.0"
  
-scalaVersion := "2.10.4" +scalaVersion := "2.12.20" 
- +  
-libraryDependencies += "org.apache.spark" %% "spark-core" % "1.4.1"+libraryDependencies += "org.apache.spark" %% "spark-core" % "3.5.3"
 </file> </file>
  
Line 80: Line 80:
   <file>sbt package</file>   <file>sbt package</file>
  
-  * 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-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-2.10/word_count_2.10-1.0.jar /net/projects/spark-example-data/wiki-cs 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-2.10/word_count_2.10-1.0.jar /net/projects/spark-example-data/wiki-cs outdir</file> +  <file>MASTER=local spark-submit target/scala-2.12/word_count_2.12-1.0.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, 2GB RAM each) on Slurm 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-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>
  

[ Back to the navigation ] [ Back to the content ]