| tar_resources_clustermq {targets} | R Documentation |
Target resources: clustermq high-performance computing
Description
Create the clustermq argument of tar_resources()
to specify optional high-performance computing settings
for tar_make_clustermq().
For details, see the documentation of the clustermq R package
and the corresponding argument names in this help file.
Usage
tar_resources_clustermq(
template = targets::tar_option_get("resources")$clustermq$template
)
Arguments
template |
Named list, |
Details
clustermq workers are persistent,
so there is not a one-to-one correspondence between workers and targets.
The clustermq resources apply to the workers, not the targets.
So the correct way to assign clustermq resources is through
tar_option_set(), not tar_target(). clustermq resources
in individual tar_target() calls will be ignored.
Value
Object of class "tar_resources_clustermq", to be supplied
to the clustermq 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().)
See Also
Other resources:
tar_resources(),
tar_resources_aws(),
tar_resources_crew(),
tar_resources_custom_format(),
tar_resources_feather(),
tar_resources_fst(),
tar_resources_future(),
tar_resources_gcp(),
tar_resources_network(),
tar_resources_parquet(),
tar_resources_qs(),
tar_resources_url()
Examples
# Somewhere in you target script file (usually _targets.R):
tar_target(
name,
command(),
resources = tar_resources(
clustermq = tar_resources_clustermq(template = list(n_cores = 2))
)
)