View source: R/tar_path_target.R
| tar_path_target | R Documentation |
Identify the file path where a target will be stored after the target finishes running in the pipeline.
tar_path_target(
name = NULL,
default = NA_character_,
create_dir = FALSE,
store = targets::tar_config_get("store")
)
name |
Symbol, name of a target.
If |
default |
Character, value to return if |
create_dir |
Logical of length 1,
whether to create |
store |
Character of length 1,
path to the data store if |
Character, file path of the return value of the target.
If not called from inside a running target,
tar_path_target(name = your_target) just returns
_targets/objects/your_target, the file path where your_target
will be saved unless format is equal to "file" or any of the
supported cloud-based storage formats.
For non-cloud storage formats, if you call tar_path_target()
with no arguments while target x is running, the name
argument defaults to the name of the running target,
so tar_path_target() returns _targets/objects/x.
For cloud-backed formats, tar_path_target() returns the
path to the staging file in _targets/scratch/.
That way, even if you select a cloud repository
(e.g. tar_target(..., repository = "aws", storage = "none"))
then you can still manually write to
tar_path_target(create_dir = TRUE)
and the targets package will automatically hash it and
upload it to the AWS S3 bucket. This does not apply to
format = "file", where you would never need storage = "none"
anyway.
Other utilities:
tar_active(),
tar_backoff(),
tar_call(),
tar_cancel(),
tar_definition(),
tar_described_as(),
tar_envir(),
tar_format_get(),
tar_group(),
tar_name(),
tar_path(),
tar_path_script(),
tar_path_script_support(),
tar_path_store(),
tar_source(),
tar_store(),
tar_unblock_process()
tar_path_target()
tar_path_target(your_target)
if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
tar_dir({ # tar_dir() runs code from a temp dir for CRAN.
tar_script(tar_target(returns_path, tar_path_target()), ask = FALSE)
tar_make()
tar_read(returns_path)
})
}
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