Target resources: clustermq high-performance computing
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.
tar_resources_clustermq(template = list())
template |
Named list, |
Object of class "tar_resources_clustermq"
, to be supplied
to the clustermq
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.
Resources are all-or-nothing: if you specify any resources
with tar_target()
, all the resources from tar_option_get("resources")
are dropped for that target. In other words, if you write
tar_option_set(resources = resources_1)
and then
tar_target(x, my_command(), resources = resources_2)
, then everything
in resources_1
is discarded for target x
.
Other resources:
tar_resources_aws()
,
tar_resources_feather()
,
tar_resources_fst()
,
tar_resources_future()
,
tar_resources_parquet()
,
tar_resources_qs()
,
tar_resources_url()
,
tar_resources()
# 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)) ) )
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