View source: R/tar_resources_network.R
tar_resources_network | R Documentation |
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.
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
)
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. |
Object of class "tar_resources_network"
, to be supplied
to the network argument of tar_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()
.)
Other resources:
tar_resources()
,
tar_resources_aws()
,
tar_resources_clustermq()
,
tar_resources_crew()
,
tar_resources_custom_format()
,
tar_resources_feather()
,
tar_resources_fst()
,
tar_resources_future()
,
tar_resources_gcp()
,
tar_resources_parquet()
,
tar_resources_qs()
,
tar_resources_repository_cas()
,
tar_resources_url()
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)
)
)
}
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