View source: R/tar_resources_aws.R
tar_resources_aws | R Documentation |
Create the aws
argument of tar_resources()
to specify optional settings to AWS for
tar_target(..., repository = "aws")
.
See the format
argument of tar_target()
for details.
tar_resources_aws(
bucket = targets::tar_option_get("resources")$aws$bucket,
prefix = targets::tar_option_get("resources")$aws$prefix,
region = targets::tar_option_get("resources")$aws$region,
endpoint = targets::tar_option_get("resources")$aws$endpoint,
s3_force_path_style = targets::tar_option_get("resources")$aws$s3_force_path_style,
part_size = targets::tar_option_get("resources")$aws$part_size,
page_size = targets::tar_option_get("resources")$aws$page_size,
max_tries = targets::tar_option_get("resources")$aws$max_tries,
seconds_timeout = targets::tar_option_get("resources")$aws$seconds_timeout,
close_connection = targets::tar_option_get("resources")$aws$close_connection,
verbose = targets::tar_option_get("resources")$aws$verbose,
...
)
bucket |
Character of length 1, name of an existing bucket to upload and download the return values of the affected targets during the pipeline. |
prefix |
Character of length 1, "directory path"
in the bucket where your target object and metadata will go.
Please supply an explicit prefix
unique to your |
region |
Character of length 1, AWS region containing the S3 bucket.
Set to |
endpoint |
Character of length 1, URL endpoint for S3 storage.
Defaults to the Amazon AWS endpoint if |
s3_force_path_style |
Logical of length 1, whether to use path-style addressing for S3 requests. |
part_size |
Positive numeric of length 1, number of bytes
for each part of a multipart upload. (Except the last part,
which is the remainder.) In a multipart upload, each part
must be at least 5 MB. The default value of the |
page_size |
Positive integer of length 1, number of items in each page for paginated HTTP requests such as listing objects. |
max_tries |
Positive integer of length 1, maximum number of attempts to access a network resource on AWS. |
seconds_timeout |
Positive numeric of length 1, number of seconds until an HTTP connection times out. |
close_connection |
Logical of length 1, whether to close HTTP connections immediately. |
verbose |
Logical of length 1, whether to print console messages when running computationally expensive operations such as listing objects in a large bucket. |
... |
Named arguments to functions in
|
See the cloud storage section of https://books.ropensci.org/targets/data.html for details for instructions.
Object of class "tar_resources_aws"
, to be supplied
to the aws
argument of tar_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.
In targets
version 0.12.2 and above, resources are inherited one-by-one
in nested fashion from tar_option_get("resources")
.
For example, suppose you set
tar_option_set(resources = tar_resources(aws = my_aws))
,
where my_aws
equals tar_resources_aws(bucket = "x", prefix = "y")
.
Then, tar_target(data, get_data()
will have bucket "x"
and
prefix "y"
. In addition, if new_resources
equals
tar_resources(aws = tar_resources_aws(bucket = "z")))
, then
tar_target(data, get_data(), resources = new_resources)
will use the new bucket "z"
, but it will still use the prefix "y"
supplied through tar_option_set()
. (In targets
0.12.1 and below,
options like prefix
do not carry over from tar_option_set()
if you
supply non-default resources to tar_target()
.)
Other resources:
tar_resources()
,
tar_resources_clustermq()
,
tar_resources_crew()
,
tar_resources_custom_format()
,
tar_resources_feather()
,
tar_resources_fst()
,
tar_resources_future()
,
tar_resources_gcp()
,
tar_resources_network()
,
tar_resources_parquet()
,
tar_resources_qs()
,
tar_resources_repository_cas()
,
tar_resources_url()
# Somewhere in you target script file (usually _targets.R):
if (identical(Sys.getenv("TAR_EXAMPLES"), "true")) { # for CRAN
tar_target(
name,
command(),
format = "qs",
repository = "aws",
resources = tar_resources(
aws = tar_resources_aws(
bucket = "yourbucketname",
prefix = "_targets"
),
qs = tar_resources_qs(preset = "fast"),
)
)
}
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