Description Usage Arguments Examples
Internal function (used by to_flow), which aids in creating a job object.
1 2 3 4 5 6 7 8 9 10 11 12 |
cmds |
the commands to run |
name |
name of the job |
q_obj |
queue object |
previous_job |
character vector of previous job. If this is the first job, one can leave this empty, NA, NULL, '.', or ”. In future this could specify multiple previous jobs. |
cpu |
no of cpu's reserved |
memory |
The amount of memory reserved. Units depend on the platform used to process jobs |
walltime |
The amount of time reserved for this job. Format is unique to a platform. Typically it looks like 12:00 (12 hours reserved, say in LSF), in Torque etc. we often see measuring in seconds: 12:00:00 |
submission_type |
submission type: A character with values: scatter, serial. Scatter means all the 'cmds' would be run in parallel as separate jobs. Serial, they would combined into a single job and run one-by-one. |
dependency_type |
dependency type. One of none, gather, serial, burst. If previous_job is specified, then this would not be 'none'. [Required] |
... |
other passed onto object creation. Example: memory, walltime, cpu |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | qobj <- queue(platform="torque")
## torque job with 1 CPU running command 'sleep 2'
jobj <- job(q_obj=qobj, cmd = "sleep 2", cpu=1)
## multiple commands
cmds = rep("sleep 5", 10)
## run the 10 commands in parallel
jobj1 <- job(q_obj=qobj, cmd = cmds, submission_type = "scatter", name = "job1")
## run the 10 commands sequentially, but WAIT for the previous job to complete
jobj2 <- job(q_obj=qobj, cmd = cmds, submission_type = "serial",
dependency_type = "gather", previous_job = "job1")
fobj <- flow(jobs = list(jobj1, jobj2))
## plot the flow
plot_flow(fobj)
## Not run:
## dry run, only create the structure without submitting jobs
submit_flow(fobj)
## execute the jobs: ONLY works on computing cluster, would fail otherwise
submit_flow(fobj, execute = TRUE)
## End(Not run)
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