Create the qs argument of tar_resources() to specify optional settings for big data storage formats powered by the qs R package. See the format argument of tar_target() for details.

tar_resources_qs(preset = "high")

Arguments

preset

Character of length 1, preset argument of qs::qsave().

Value

Object of class "tar_resources_qs", to be supplied to the qs 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(), format = "qs", resources = tar_resources( qs = tar_resources_qs(preset = "fast") ) )
#> <tar_stem> #> name: name #> command: #> command() #> format: qs #> iteration method: vector #> error mode: stop #> memory mode: persistent #> storage mode: main #> retrieval mode: main #> deployment mode: worker #> priority: 0 #> resources: #> qs: <environment> #> cue: #> mode: thorough #> command: TRUE #> depend: TRUE #> format: TRUE #> iteration: TRUE #> file: TRUE #> packages: #> targets #> stats #> graphics #> grDevices #> utils #> datasets #> methods #> base #> library: #> NULL