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In high-performance computing on network file systems, if storage = "worker" in tar_target() or tar_option_set(), then targets waits for hashes to synchronize before continuing the pipeline. These resources control the retry mechanism.

Usage

tar_resources_network(
  max_tries = targets::tar_option_get("resources")$network$max_tries,
  seconds_interval = targets::tar_option_get("resources")$network$seconds_interval,
  seconds_timeout = targets::tar_option_get("resources")$network$seconds_timeout,
  verbose = targets::tar_option_get("resources")$network$verbose
)

Arguments

max_tries

Positive integer of length 1. Max number of tries.

seconds_interval

Positive numeric of length 1, seconds between retries.

seconds_timeout

Positive numeric of length 1. Timeout length in seconds.

verbose

Logical of length 1, whether to print informative console messages.

Value

Object of class "tar_resources_network", to be supplied to the network argument of tar_resources().

Resources

Functions tar_target() and tar_option_set() each takes an optional resources argument to supply non-default settings of various optional backends for data storage and high-performance computing. The tar_resources() function is a helper to supply those settings in the correct manner.

In targets version 0.12.2 and above, resources are inherited one-by-one in nested fashion from tar_option_get("resources"). For example, suppose you set tar_option_set(resources = tar_resources(aws = my_aws)), where my_aws equals tar_resources_aws(bucket = "x", prefix = "y"). Then, tar_target(data, get_data() will have bucket "x" and prefix "y". In addition, if new_resources equals tar_resources(aws = tar_resources_aws(bucket = "z"))), then tar_target(data, get_data(), resources = new_resources) will use the new bucket "z", but it will still use the prefix "y" supplied through tar_option_set(). (In targets 0.12.1 and below, options like prefix do not carry over from tar_option_set() if you supply non-default resources to tar_target().)

Examples

if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
# Somewhere in you target script file (usually _targets.R):
tar_target(
  name = your_name,
  command = your_command(),
  storage = "worker",
  resources = tar_resources(
    network = tar_resources_network(max_tries = 3)
  )
)
}