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spark:using-python [2014/11/11 09:28]
straka 		spark:using-python [2014/11/11 09:31]
straka
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   * run ''word_count.py'' script 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.py'' script 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 word_count.py input output</file>+  <file>spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>
   * run ''word_count.py'' script with local Spark cluster using one thread:   * run ''word_count.py'' script with local Spark cluster using one thread:
-  <file>MASTER=local spark-submit word_count.py input output</file>+  <file>MASTER=local spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>
   * start Spark cluster (10 machines, 1GB RAM each) on SGE and run ''word_count.py'' script:   * start Spark cluster (10 machines, 1GB RAM each) on SGE and run ''word_count.py'' script:
-  <file>spark-qsub 10 1G spark-submit word_count.py input output</file>+  <file>spark-qsub 10 1G spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>
  

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