Pin data to a container in Azure storage using the AzureStor package.
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) { # \dontrun{
# 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")
} # }