[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki

[ Back to the navigation ]

You are here: start » spark » using-python

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 Both sides next revision
spark:using-python [2014/11/10 15:42]
straka 		spark:using-python [2014/11/11 09:28]
straka
Line 24: Line 24:
 </file> </file>
  
-  * 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>IPYTHON=1 pyspark</file>   <file>IPYTHON=1 pyspark</file>
   * run interactive shell with local Spark cluster using one thread:   * run interactive shell with local Spark cluster using one thread:
Line 65: Line 65:
 </file> </file>
  
-  * run ''word_count.py'' script inside ''spark-qsub'', ''spark-qrsh'', or start local Spark cluster using as many threads as there are cores:+  * 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 input output</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:
Line 71: Line 71:
   * 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 input output</file>
 +

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