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spark:using-scala [2014/11/10 17:40] straka |
spark:using-scala [2014/11/11 09:29] straka |
</file> | </file> |
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* run interactive shell inside ''spark-qrsh'', or start local Spark cluster using as many threads as there are cores: | * 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: |
<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>sbt package</file> | <file>sbt package</file> |
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* run ''word_count'' application inside ''spark-qsub'', ''spark-qrsh'', or start local Spark cluster using as many threads as there are cores: | * 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 --class Main target/scala-2.10/word_count_2.10-1.0.jar input output</file> | <file>spark-submit --class Main target/scala-2.10/word_count_2.10-1.0.jar input output</file> |
* run ''word_count'' application with local Spark cluster using one thread: | * run ''word_count'' application with local Spark cluster using one thread: |