Target resources: fst storage formats

Source: R/tar_resources_fst.R

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

tar_resources_fst(compress = 50)

Arguments

compress

Numeric of length 1, compress argument of fst::write_fst().

Value

Object of class "tar_resources_fst", to be supplied to the fst 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

Other resources: tar_resources_aws(), tar_resources_clustermq(), tar_resources_feather(), tar_resources_future(), tar_resources_parquet(), tar_resources_qs(), tar_resources_url(), tar_resources()

Examples

# Somewhere in you target script file (usually _targets.R):
tar_target(
  name,
  command(),
  format = "fst_tbl",
  resources = tar_resources(
    fst = tar_resources_fst(compress = 100)
  )
)

#> <tar_stem> 
#>   name: name 
#>   command:
#>     command() 
#>   format: fst_tbl 
#>   iteration method: vector 
#>   error mode: stop 
#>   memory mode: persistent 
#>   storage mode: main 
#>   retrieval mode: main 
#>   deployment mode: worker 
#>   priority: 0 
#>   resources:
#>     fst: <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