gcs_data: Access datasets from Google Cloud Storage
In gmega/megautils: Collection of Utility Functions

Description Usage Arguments Details Examples

View source: R/gcs.R

Helper functions for loading datasets from Google Cloud Storage (GCS). In case of tabular data, provides functions which can be used in concert with import.

gcs_data(bucket, path, loader)

gcs_table(bucket, path, loader, name = NULL)

## S3 method for class 'gcs_table'
materialize(reference)

gcs_auth(...)

`bucket`	a valid GCS bucket name.
`path`	a path pointing to a dataset into the GCS bucket.
`loader`	a post-processing function (e.g. read_csv) which transforms the downloaded file into usable data. When used with import, 'loader' must return an object with S3 class 'data.frame' (e.g. a tibble).

'gcs_data()': loads and parses data from GCS.
'gcs_table()': lazy table reference for using GCS objects with import.
'gcs_auth()': thin wrapper over gargle and googleAuthR for faciliting user-base authentication.

## Not run: 
   # The typical use case is importing datasets into notebooks locally.
   gcs_auth(email = 'user@example.com')
   
   # Places the contents of cities.csv into global object "cities", and
   # stores the data into local cache for future use.
   import(
      gcs_table(
         bucket = 'somebucket.example.com',
         path = '/datasets/cities.csv',
         loader = read_csv
      )
   )

## End(Not run)