All jobs are executed sequentially using the current R process in which submitJobs is called.
Thus, submitJob blocks the session until the job has finished.
The main use of this ClusterFunctions implementation is to test and debug programs on a local computer.
Listing jobs returns an empty vector (as no jobs can be running when you call this)
and killJob is not implemented for the same reasons.
makeClusterFunctionsInteractive(
external = FALSE,
write.logs = TRUE,
fs.latency = 0
)[ClusterFunctions].
[logical(1)]
If set to TRUE, jobs are started in a fresh R session instead of currently active but still
waits for its termination.
Default is FALSE.
[logical(1)]
Sink the output to log files. Turning logging off can increase the speed of
calculations but makes it very difficult to debug.
Default is TRUE.
[numeric(1)]
Expected maximum latency of the file system, in seconds.
Set to a positive number for network file systems like NFS which enables more robust (but also more expensive) mechanisms to
access files and directories.
Usually safe to set to 0 to disable the heuristic, e.g. if you are working on a local file system.
Other ClusterFunctions:
makeClusterFunctionsDocker(),
makeClusterFunctionsLSF(),
makeClusterFunctionsMulticore(),
makeClusterFunctionsOpenLava(),
makeClusterFunctionsSGE(),
makeClusterFunctionsSSH(),
makeClusterFunctionsSlurm(),
makeClusterFunctionsSocket(),
makeClusterFunctionsTORQUE(),
makeClusterFunctions()