This function facilitates the bulk reading of multiple files
from the project's designated S3 folder. By using cloud_s3_ls, you can
obtain a dataframe detailing the contents of the S3 folder. Applying
cloud_s3_read_bulk
to this dataframe allows you to read all listed files
into a named list. The function will, by default, infer the appropriate
reading method based on each file's extension. However, if a specific
reading function is provided via the fun
parameter, it will be applied
uniformly to all files, which may not be suitable for diverse file types.
Arguments
- content
(data.frame) Output of
cloud_s3_ls()
- fun
A custom reading function. If
NULL
(default), the appropriate reading function will be inferred based on the file's extension.- ...
Additional arguments to pass to the reading function
fun
.- quiet
All caution messages may be turned off by setting this parameter to
TRUE
.- root
S3 path of the project root. This serves as the reference point for all relative paths. When left as
NULL
, the root is automatically derived from thecloudfs.s3
field of the project's DESCRIPTION file.
Value
A named list where each element corresponds to the content of a file from S3. The names of the list elements are derived from the file names.
Examples
if (FALSE) { # interactive()
# provided there's a folder called "data" in the root of the project's main
# S3 folder, and it contains csv files
data_lst <-
cloud_s3_ls("data") |>
filter(type == "csv") |>
cloud_s3_read_bulk()
}