Python Job Runner
- In addition, your Python script will need to be able to accept arguments from the command line. There is an explanation of how to do this in this Software Carpentry lesson. Submitting Jobs. A sample submit file can be found in our hello world example page. You should make the following changes in order to run Python jobs.
- Save this slurm script to hello.slurm. Then run it by submitting the job to the slurm scheduler with: sbatch hello.slurm. We will take this slurm job script and modify it to run as a job array. Each task in a job array will run the same python script and print ‘Hello!’ and the job array task ID.
Here is an example slurm script that loads anaconda3 module and runs hello world python script. Note: to use the scheduler, you prepend python hello.py with srun command. Save this slurm script to hello.slurm. Then run it by submitting the job to the slurm scheduler with: We will take this slurm job script and modify it to run as a job array.
Python Job Runner Online
Python Job Runner Tutorial
Python Job Runner
- Guides
- Why mrjob?
- Fundamentals
- Concepts
- Writing jobs
- Runners
- Spark
- Config file format and location
- Options available to all runners
- Hadoop-related options
- Configuration quick reference
- Cloud runner options
- Job Environment Setup Cookbook
- Hadoop Cookbook
- Testing jobs
- Cloud Dataproc
- Elastic MapReduce
- Python 2 vs. Python 3
- Contributing to mrjob
- Reference
- mrjob.cmd: The
mrjobcommand-line utility - mrjob.conf - parse and write config files
- mrjob.dataproc - run on Dataproc
- mrjob.emr - run on EMR
- mrjob.hadoop - run on your Hadoop cluster
- mrjob.job - defining your job
- mrjob.protocol - input and output
- mrjob.spark.runner - run on any Spark cluster
- mrjob.runner - base class for all runners
- mrjob.step - represent Job Steps
- mrjob.cmd: The
- What’s New
- 0.7.4
- 0.7.1
- 0.7.0
- 0.6.8
- 0.6.3
- 0.6.0
- 0.5.7
- 0.5.4
- 0.5.0
- 0.3