cloudfs (version 0.1.3)

cloud_object_ls: Prepare a dataframe for bulk writing of objects to cloud

Description

cloud_*_ls functions for cloud locations (e.g. cloud_s3_ls) return content dataframes which can then be passed to cloud_*_read_bulk and cloud_*_download_bulk functions to read/download multiple files at once. In a similar manner, this function accepts a list of objects as an input and produces a dataframe which can then be passed to cloud_*_write_bulk functions to write multiple files at once.

Usage

cloud_object_ls(x, path, extension, prefix = "", suffix = "")

Value

A tibble in which each row represents an object from the input list, comprising the following columns:

• object - objects you've provided

• name - contains paths where objects are meant to be written.

Arguments

x

A named list. Names may contain letters, digits, spaces, '.', '-', '_' symbols and cannot contain trailing or leading spaces.

path

A directory relative to the project root to write objects to.

extension

File extension (string) without the leading dot.

prefix, suffix

(optional) strings to attach at the beginning or at the end of file names.

Examples

cloud_object_ls(
  dplyr::lst(mtcars = mtcars, iris = iris),
  path = "data",
  extension = "csv",
  prefix = "df_"
)