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Pin data to a container in Azure storage using the AzureStor package.

Usage

board_azure(
  container,
  path = "",
  n_processes = 10,
  versioned = TRUE,
  cache = NULL
)

Arguments

container

An azure storage container created by AzureStor::blob_container() or similar.

path

Path to the directory in the container to store pins. Will be created if it doesn't already exist. The equivalent of a prefix for AWS S3 storage.

n_processes

Maximum number of processes used for parallel uploads/downloads.

versioned

Should this board be registered with support for versions?

cache

Cache path. Every board requires a local cache to avoid downloading files multiple times. The default stores in a standard cache location for your operating system, but you can override if needed.

Details

You can create a board in any of the services that AzureStor supports: blob storage, file storage and Azure Data Lake Storage Gen2 (ADLSgen2).

Blob storage is the classic storage service that is most familiar to people, but is relatively old and inefficient. ADLSgen2 is a modern replacement API for working with blobs that is much faster when working with directories. You should consider using this rather than the classic blob API where possible; see the examples below.

board_azure() is powered by the AzureStor package, which is a suggested dependency of pins (not required for pins in general). If you run into errors when deploying content to a server like https://www.shinyapps.io or Connect, add requireNamespace("AzureStor") to your app or document for automatic dependency discovery.

Examples

if (requireNamespace("AzureStor")) {
  # Public access board
  url <- "https://pins.blob.core.windows.net/public-data"
  container <- AzureStor::blob_container(url)
  board <- board_azure(container)
  board %>% pin_read("mtcars")
}
#> Loading required namespace: AzureStor
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#> Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#> Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1
#> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2

if (FALSE) {
# To create a board that you can write to, you'll need to supply one
# of `key`, `token`, or `sas` to AzureStor::blob_container()
# First, we create a board using the classic Azure blob API
url <- "https://myaccount.blob.core.windows.net/mycontainer"
container <- AzureStor::blob_container(url, sas = "my-sas")
board <- board_azure(container, "path/to/board")
board %>% pin_write(iris)

# ADLSgen2 is a modern, efficient way to access blobs
# - Use 'dfs' instead of 'blob' in the account URL to use the ADLSgen2 API
# - Use the 'storage_container' generic instead of the service-specific
#   'blob_container'
# - We reuse the board created via the blob API above
adls_url <- "https://myaccount.dfs.core.windows.net/mycontainer"
container <- AzureStor::storage_container(adls_url, sas = "my-sas")
board <- board_azure(container, "path/to/board")
board %>% pin_list()
board %>% pin_read("iris")
}