Common abstract cluster options.
Usage
crew_options_cluster(
verbose = FALSE,
command_submit = as.character(Sys.which("qsub")),
command_terminate = as.character(Sys.which("qdel")),
script_directory = tempdir(),
script_lines = character(0L)
)
Arguments
- verbose
Logical, whether to see console output and error messages when submitting worker.
- command_submit
Character of length 1, file path to the executable to submit a worker job.
- command_terminate
Character of length 1, file path to the executable to terminate a worker job. Set to
""
to skip manually terminating the worker. Unless there is an issue with the platform, the job should still exit thanks to the NNG-powered network programming capabilities ofmirai
. Still, if you setcommand_terminate = ""
, you are assuming extra responsibility for manually monitoring your jobs on the cluster and manually terminating jobs as appropriate.- script_directory
Character of length 1, directory path to the job scripts. Just before each job submission, a job script is created in this folder. Script base names are unique to each launcher and worker, and the launcher deletes the script when the worker is manually terminated.
tempdir()
is the default, but it might not work for some systems.tools::R_user_dir("crew.cluster", which = "cache")
is another reasonable choice.- script_lines
Optional character vector of additional lines to be added to the job script just after the more common flags. An example would be
script_lines = "module load R"
if your cluster supports R through an environment module.
Attribution
The template files at
https://github.com/mschubert/clustermq/tree/master/inst
informed the development of the crew
launcher plugins in
crew.cluster
, and we would like to thank
Michael Schubert for developing clustermq
and releasing it under
the permissive Apache License 2.0.
See the NOTICE
and README.md
files in the crew.cluster
source code for additional attribution.
See also
Other cluster:
crew_class_launcher_cluster
,
crew_class_monitor_cluster
,
crew_launcher_cluster()
,
crew_monitor_cluster()