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spark:using-python [2022/12/14 13:24]
straka [Usage Examples] 		spark:using-python [2026/10/14 19:56] (current)
straka Drop the ipython3 override.
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 <file>pyspark</file> <file>pyspark</file>
  
-Better interactive shell with code completion using ''ipython3'' (do `pip3 install --user ipython` if you do not have it) can be started using: 
-<file>PYSPARK_DRIVER_PYTHON=ipython3 pyspark</file> 
  
 As described in [[running-spark-on-single-machine-or-on-cluster|Running Spark on Single Machine or on Cluster]], environmental variable ''MASTER'' specifies which Spark master to use (or whether to start a local one). As described in [[running-spark-on-single-machine-or-on-cluster|Running Spark on Single Machine or on Cluster]], environmental variable ''MASTER'' specifies which Spark master to use (or whether to start a local one).
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   * 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:   * 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>PYSPARK_DRIVER_PYTHON=ipython3 pyspark</file>+  <file>pyspark</file>
   * run interactive shell with local Spark cluster using one thread:   * run interactive shell with local Spark cluster using one thread:
-  <file>MASTER=local PYSPARK_DRIVER_PYTHON=ipython3 pyspark</file> +  <file>MASTER=local pyspark</file> 
-  * start Spark cluster (10 machines, @GB RAM each) on Slurm and run interactive shell: +  * start Spark cluster (10 machines, 2GB RAM each) on Slurm and run interactive shell: 
-  <file>PYSPARK_DRIVER_PYTHON=ipython3 spark-srun 10 2G pyspark</file> +  <file>spark-srun 10 2G pyspark</file>
- +
-Note that ''PYSPARK_DRIVER_PYTHON'' variable can be left out or specified in ''.bashrc'' (or other configuration files).+
  
  
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   * 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 /net/projects/spark-example-data/wiki-cs outdir</file>   <file>MASTER=local spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>
-  * start Spark cluster (10 machines, @GB RAM each) using Slurm SGE and run ''word_count.py'' script:+  * start Spark cluster (10 machines, @GB RAM each) using Slurm and run ''word_count.py'' script:
   <file>spark-sbatch 10 2G spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>   <file>spark-sbatch 10 2G spark-submit word_count.py /net/projects/spark-example-data/wiki-cs outdir</file>
  

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