spark-submit
Usage
spark-submit is used to execute a PySpark-based Prism project. This is distinct from a Python-based Prism project, in which case you would need to use the run command.
In order to use the spark-submit command, you must have a PySpark profile specified in profile.yml.
Usage: prism spark-submit [OPTIONS]
Execute your Prism project as a PySpark job.
Examples:
• prism spark-submit
• prism spark-submit -m module01.py -m module02.py
• prism spark-submit -m module01 --all-downstream
• prism spark-submit -v VAR1=VALUE1 -v VAR2=VALUE2
• prism spark-submit --context '{"hi": 1}'
╭─ Options ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --module -m TEXT Modules to execute. You can specify multiple modules with as follows: -m │
│ <your_first_module> -m <your_second_module>. │
│ --all-downstream Execute all tasks downstream of modules specified with --module. │
│ --all-upstream Execute all tasks upstream of modules specified with --module. │
│ --full-refresh Run tasks from scratch (even the ones that are considered done) │
│ --log-level -l [info|warn|error|debug] Set the log level. │
│ --full-tb Show the full traceback when an error occurs. │
│ --vars -v TEXT Variables as key value pairs. These overwrite variables in prism_project.py. All │
│ values are intepreted as strings. │
│ --context TEXT Context as a dictionary. Must be a valid JSON. These overwrite variables in │
│ prism_project.py. │
│ --help Show this message and exit. │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯Important: this command is identical to prism run, with the exception that this should only be used to submit PySpark jobs.
Here's what the output looks like in Terminal:
$ prism spark-submit
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<HH:MM:SS> | INFO | Running with prism v0.2.5...
<HH:MM:SS> | INFO | Found project directory at /my_first_project
<HH:MM:SS> | INFO | RUNNING 'parsing prism_project.py'.............................................. [RUN]
<YY/MM/DD> <HH:MM:SS> WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
<HH:MM:SS> | INFO | FINISHED 'parsing prism_project.py'............................................. [DONE in 0.03s]
<HH:MM:SS> | INFO | RUNNING 'task DAG'.............................................................. [RUN]
<HH:MM:SS> | INFO | FINISHED 'task DAG'............................................................. [DONE in 0.01s]
<HH:MM:SS> | INFO | RUNNING 'creating pipeline, DAG executor'....................................... [RUN]
<HH:MM:SS> | INFO | FINISHED 'creating pipeline, DAG executor'...................................... [DONE in 0.01s]
<HH:MM:SS> | INFO | ===================== tasks (vermilion-hornet-Gyycw4kRWG) =====================
<HH:MM:SS> | INFO | 1 of 2 RUNNING EVENT 'decorated_task.example_task'.............................. [RUN]
<HH:MM:SS> | INFO | 1 of 2 FINISHED EVENT 'decorated_task.example_task'............................. [DONE in 0.02s]
<HH:MM:SS> | INFO | 2 of 2 RUNNING EVENT 'class_task.ExampleTask'................................... [RUN]
<HH:MM:SS> | INFO | 2 of 2 FINISHED EVENT 'class_task.ExampleTask'.................................. [DONE in 0.01s]
<HH:MM:SS> | INFO | Done!
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