View source: R/tar_resources_future.R
| tar_resources_future | R Documentation |
future high-performance computingCreate the future argument of tar_resources()
to specify optional high-performance computing settings
for tar_make_future().
This is how to supply the resources
argument of future::future() for targets.
Resources supplied through
future::plan() and future::tweak() are completely ignored.
For details, see the documentation of the future R package
and the corresponding argument names in this help file.
tar_resources_future(
plan = NULL,
resources = targets::tar_option_get("resources")$future$resources
)
plan |
A |
resources |
Named list, |
Object of class "tar_resources_future", to be supplied
to the future 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_gcp(),
tar_resources_network(),
tar_resources_parquet(),
tar_resources_qs(),
tar_resources_repository_cas(),
tar_resources_url()
# Somewhere in you target script file (usually _targets.R):
tar_target(
name,
command(),
resources = tar_resources(
future = tar_resources_future(resources = list(n_cores = 2))
)
)
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