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tar_resources_clustermq

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 = list())

Arguments

template

Named list, template argument to clustermq::workers().

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. 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.

See Also

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))
  )
)

targets

Dynamic Function-Oriented 'Make'-Like Declarative Workflows

v0.10.0
MIT + file LICENSE
Authors
William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Initial release

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