tar_objects: List saved targets

Description

List targets currently saved to _targets/objects/ or the cloud. Does not include local files with tar_target(..., format = "file", repository = "local").

Usage

tar_objects(
  names = NULL,
  cloud = TRUE,
  store = targets::tar_config_get("store")
)

Value

Character vector of targets saved to _targets/objects/.

Arguments

names: Names of targets to select. The object supplied to names should be NULL or a tidyselect expression like any_of() or starts_with() from tidyselect itself, or tar_described_as() to select target names based on their descriptions.
cloud: Logical of length 1, whether to include cloud targets in the output (e.g. tar_target(..., repository = "aws")).
store: Character of length 1, path to the targets data store. Defaults to tar_config_get("store"), which in turn defaults to _targets/. When you set this argument, the value of tar_config_get("store") is temporarily changed for the current function call. See tar_config_get() and tar_config_set() for details about how to set the data store path persistently for a project.

Storage access

Several functions like tar_make(), tar_read(), tar_load(), tar_meta(), and tar_progress() read or modify the local data store of the pipeline. The local data store is in flux while a pipeline is running, and depending on how distributed computing or cloud computing is set up, not all targets can even reach it. So please do not call these functions from inside a target as part of a running pipeline. The only exception is literate programming target factories in the tarchetypes package such as tar_render() and tar_quarto().

Examples

Run this code

if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
tar_dir({ # tar_dir() runs code from a temp dir for CRAN.
tar_script({
  library(targets)
  library(tarchetypes)
  list(tar_target(x, "value"))
}, ask = FALSE)
tar_make()
tar_objects()
tar_objects(starts_with("x")) # see also any_of()
})
}