Submit an R program for execution on a Kubernetes cluster

Usage

abba_submit_k8s_job_local(
  file_path,
  batch_group_id = "",
  user_tag = "",
  cpu_limit = 1L,
  memory_limit = "512M",
  container = getOption("abba.default.container"),
  mounts = "",
  auto_mount_home = FALSE,
  home_nfs_ip_address = getOption("abba.home.nfs.ip.address"),
  namespace = getOption("abba.k8s.namespace"),
  username = NULL
)

Arguments

file_path: Full path to R file
batch_group_id: Group ID for batch processing
user_tag: Optional; a string that describes what kind of job will be scheduled to run
cpu_limit: Maximum number of cores available for Kubernetes container
memory_limit: Maximum amount of RAM available for Kubernetes container
container: A valid container image name provided as a character string. Defaults to the option abba.default.container.
mounts: Specifically formatted list with information bout volumes that container would have access to during the run
auto_mount_home: set to TRUE to mount service user home directory
home_nfs_ip_address: IP address for mounting service user home directory
namespace: Kubernetes namespace to put the job in
username: user whose authority will be used to run the program

Value

A list with job_id and batch_id attributes in case of successful submission

Examples

if (FALSE) { # \dontrun{
job_info <- abba_submit_k8s_job_local("path/to/your/program.R", batch_group_id='SDTM')
} # }